{ "reviewed": "2026-10-26", "sources": [ { "id": "robot-icl-2026", "workId": "robot-icl-survey", "label": "In-Context Learning for Robots: Methods and Applications", "url": "https://arxiv.org/abs/2609.36012", "referencesUrl": "https://arxiv.org/src/2609.36012v1/anc/Supplement-S1/references.json", "corpusUrl": "https://arxiv.org/src/2609.36012v1/anc/Supplement-S1/corpus.json", "snapshot": "Supplement S1, 2026-09-29-primary-source-refresh", "scope": "All 412 numbered references are reconciled. The author assigns 260 entries to four method families. This atlas follows manipulation methods; navigation, generic learning foundations and data-only resources retain explicit dispositions. A citation match is discovery provenance, not quantitative evidence for a method.", "entries": [ { "number": 1, "key": "duan2017oneshot", "title": "One-Shot Imitation Learning", "url": "https://arxiv.org/abs/1703.07326", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "one-shot-imitation", "note": "Verified manipulation policy in the original primary source." }, { "number": 2, "key": "duan2016rl2", "title": "RL²: Fast Reinforcement Learning via Slow Reinforcement Learning", "url": "https://arxiv.org/abs/1611.02779", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "RL² evaluates bandits, finite MDPs and visual maze navigation; no manipulation policy experiment.", "decisionSource": "https://arxiv.org/abs/1611.02779" }, { "number": 3, "key": "mishra2017snail", "title": "A Simple Neural Attentive Meta-Learner", "url": "https://arxiv.org/abs/1707.03141", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "SNAIL evaluates few-shot recognition, bandits, tabular MDPs, maze navigation and cheetah/ant locomotion; no manipulation experiment.", "decisionSource": "https://arxiv.org/abs/1707.03141" }, { "number": 4, "key": "rakelly2019pearl", "title": "Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables", "url": "https://arxiv.org/abs/1903.08254", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "PEARL continuous-control experiments concern locomotion and point navigation; no manipulation experiment.", "decisionSource": "https://arxiv.org/abs/1903.08254" }, { "number": 5, "key": "xu2022promptdt", "title": "Prompting Decision Transformer for Few-Shot Policy Generalization", "url": "https://arxiv.org/abs/2206.13499", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "prompt-dt", "note": "Verified manipulation policy in the original primary source." }, { "number": 6, "key": "laskin2022ad", "title": "In-context Reinforcement Learning with Algorithm Distillation", "url": "https://arxiv.org/abs/2210.14215", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "Algorithm Distillation evaluates bandits, Dark Room / Key-to-Door and DMLab Watermaze rather than manipulation.", "decisionSource": "https://arxiv.org/abs/2210.14215" }, { "number": 7, "key": "finn2017mil", "title": "One-Shot Visual Imitation Learning via Meta-Learning", "url": "https://arxiv.org/abs/1709.04905", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "mil", "note": "Verified manipulation policy in the original primary source." }, { "number": 8, "key": "yu2018domainadaptive", "title": "One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning", "url": "https://arxiv.org/abs/1802.01557", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "daml", "note": "Verified manipulation policy in the original primary source." }, { "number": 9, "key": "merwe2025icpi", "title": "In-Context Iterative Policy Improvement for Dynamic Manipulation", "url": "https://proceedings.mlr.press/v305/merwe25a.html", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "icpi", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 10, "key": "jiang2026robottt", "title": "RoboTTT: Context Scaling for Robot Policies", "url": "https://arxiv.org/abs/2607.15275", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "robottt", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 11, "key": "arxiv260706988", "title": "WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time", "url": "https://arxiv.org/abs/2607.06988", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "wam-ttt", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 12, "key": "mandi2021mosaic", "title": "Towards More Generalizable One-shot Visual Imitation Learning", "url": "https://arxiv.org/abs/2110.13423", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "mosaic", "note": "Verified manipulation policy in the original primary source." }, { "number": 13, "key": "fu2024icrt", "title": "In-Context Imitation Learning via Next-Token Prediction", "url": "https://arxiv.org/abs/2408.15980", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "icrt", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 14, "key": "jain2024vid2robot", "title": "Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers", "url": "https://arxiv.org/abs/2403.12943", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "vid2robot", "note": "Verified manipulation policy in the original primary source." }, { "number": 15, "key": "dipalo2024keypoint", "title": "Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics", "url": "https://arxiv.org/abs/2403.19578", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "keypoint-action-tokens", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 16, "key": "vosylius2024instantpolicy", "title": "Instant Policy: In-Context Imitation Learning via Graph Diffusion", "url": "https://arxiv.org/abs/2411.12633", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "instant-policy", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 17, "key": "sridhar2025ricl", "title": "RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models", "url": "https://arxiv.org/abs/2508.02062", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "ricl", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 18, "key": "yang2026icivla", "title": "ICI-VLA: In-Context Imitation with Spatiotemporally Aligned Demonstrations for Vision-Language-Action Models", "url": "https://arxiv.org/abs/2609.07581", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "ici-vla", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 19, "key": "mu2022domino", "title": "Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning", "url": "https://arxiv.org/abs/2210.04209", "role": "world", "methodFamily": "world", "status": "outside-scope", "note": "Generic meta-RL dynamics generalization on Hopper, HalfCheetah, Ant, SlimHumanoid and crippled locomotion variants; no object-manipulation evaluation.", "decisionSource": "https://arxiv.org/abs/2210.04209" }, { "number": 20, "key": "ni2023metadiffuser", "title": "MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL", "url": "https://proceedings.mlr.press/v202/ni23a.html", "role": "world", "methodFamily": "world", "status": "outside-scope", "note": "Offline meta-RL evaluated on Point-Robot navigation and MuJoCo locomotion reward/dynamics variations; manipulation is background motivation, not an evaluated executable manipulation policy.", "decisionSource": "https://proceedings.mlr.press/v202/ni23a.html" }, { "number": 21, "key": "goswami2025osviwm", "title": "OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation", "url": "https://arxiv.org/abs/2505.20425", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "osvi-wm", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 22, "key": "he2026demojepa", "title": "Demo-JEPA: Joint-Embedding Predictive Architecture for One-shot Cross-Embodiment Imitation", "url": "https://arxiv.org/abs/2605.20811", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "demo-jepa", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 23, "key": "chen2026host", "title": "HOST: Robots Acquire Manipulation Skills in Seconds from a Single Human Video", "url": "https://arxiv.org/abs/2607.20033", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "host", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 24, "key": "zhou2026zerowam", "title": "Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization", "url": "https://arxiv.org/abs/2608.26103", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "zero-wam", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 25, "key": "arxiv260718840", "title": "WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory", "url": "https://arxiv.org/abs/2607.18840", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "worldscape-policy2", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 26, "key": "xu2017ntp", "title": "Neural Task Programming: Learning to Generalize Across Hierarchical Tasks", "url": "https://arxiv.org/abs/1710.01813", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "neural-task-programming", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 27, "key": "liang2022codeaspolicies", "title": "Code as Policies: Language Model Programs for Embodied Control", "url": "https://arxiv.org/abs/2209.07753", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "code-as-policies", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 28, "key": "singh2022progprompt", "title": "ProgPrompt: Generating Situated Robot Task Plans using Large Language Models", "url": "https://arxiv.org/abs/2209.11302", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "progprompt", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 29, "key": "xu2023xskill", "title": "XSkill: Cross Embodiment Skill Discovery", "url": "https://proceedings.mlr.press/v229/xu23a.html", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "xskill", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 30, "key": "kim2025uniskill", "title": "UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations", "url": "https://arxiv.org/abs/2505.08787", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "uniskill-human-video", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 31, "key": "chen2026showharness", "title": "Show-Harness: Just a VLM Agent Can Play Robots", "url": "https://arxiv.org/abs/2609.10522v1", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "show-harness", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 32, "key": "argus2020flowcontrol", "title": "FlowControl: Optical Flow Based Visual Servoing", "url": "https://arxiv.org/abs/2007.00291", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "flowcontrol", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 33, "key": "valassakis2022dome", "title": "Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning", "url": "https://arxiv.org/abs/2204.02863", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "dome", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 34, "key": "dipalo2023dinobot", "title": "DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models", "url": "https://arxiv.org/abs/2402.13181", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "dinobot", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 35, "key": "heppert2024ditto", "title": "DITTO: Demonstration Imitation by Trajectory Transformation", "url": "https://ditto.cs.uni-freiburg.de/", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "ditto", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 36, "key": "dreczkowski2025mt3", "title": "Learning a Thousand Tasks in a Day", "url": "https://arxiv.org/abs/2511.10110", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "mt3", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 37, "key": "wang2025odil", "title": "One-Shot Dual-Arm Imitation Learning", "url": "https://arxiv.org/abs/2503.06831", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "odil", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 38, "key": "dong2026semancorr", "title": "SemAnCorr: Semantic Anchored Correspondence for Zero-Shot Manipulation Skill Transfer", "url": "https://arxiv.org/abs/2607.28382", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "semancorr", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 39, "key": "kumar2021rma", "title": "RMA: Rapid Motor Adaptation for Legged Robots", "url": "https://arxiv.org/abs/2107.04034", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "RMA is a quadruped locomotion adaptation method; no arm or object manipulation evaluation.", "decisionSource": "https://arxiv.org/abs/2107.04034" }, { "number": 40, "key": "liu2025locoformer", "title": "LocoFormer: Generalist Locomotion via Long-context Adaptation", "url": "https://arxiv.org/abs/2509.23745", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "LocoFormer concerns legged locomotion; it is a contextual-control lineage citation outside this manipulation catalog.", "decisionSource": "https://arxiv.org/abs/2509.23745" }, { "number": 41, "key": "wang2026icwm", "title": "In-Context World Modeling for Robotic Control", "url": "https://arxiv.org/abs/2606.26025", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "icwm", "note": "Verified manipulation policy in the original primary source." }, { "number": 42, "key": "shi2025memoryvla", "title": "MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation", "url": "https://arxiv.org/abs/2508.19236", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "memoryvla", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 43, "key": "sridhar2025memer", "title": "MemER: Scaling Up Memory for Robot Control via Experience Retrieval", "url": "https://arxiv.org/abs/2510.20328", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "memer", "note": "Verified manipulation policy in the original primary source." }, { "number": 44, "key": "torne2026mem", "title": "MEM: Multi-Scale Embodied Memory for Vision Language Action Models", "url": "https://arxiv.org/abs/2603.03596", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "mem-pi06", "note": "Verified manipulation policy in the original primary source." }, { "number": 45, "key": "yin2026simplememvla", "title": "SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models", "url": "https://arxiv.org/abs/2609.05533", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "simplememvla", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 46, "key": "zha2023droc", "title": "Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections", "url": "https://arxiv.org/abs/2311.10678", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "droc", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 47, "key": "lu2026aspire", "title": "ASPIRE: Agentic /Skills Discovery for Robotics", "url": "https://arxiv.org/abs/2607.00272", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "aspire", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 48, "key": "chen2026architect", "title": "A Few Words Go a Long Way: Language Guided Robot Policy Synthesis", "url": "https://arxiv.org/abs/2607.23784", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "architect", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 49, "key": "wang2026shaper", "title": "Self-Evolving Embodied Agents via Skill-Harness Evolution", "url": "https://arxiv.org/abs/2608.11350", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "shaper", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 50, "key": "tziafas2024lrll", "title": "Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models", "url": "https://arxiv.org/abs/2406.18746", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "lrll", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 51, "key": "arxiv250918597", "title": "Growing with Your Embodied Agent: A Human-in-the-Loop Lifelong Code Generation Framework for Long-Horizon Manipulation Skills", "url": "https://arxiv.org/abs/2509.18597", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "lyra", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 52, "key": "arxiv260619419", "title": "Playful Agentic Robot Learning", "url": "https://arxiv.org/abs/2606.19419", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "playful", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 53, "key": "arxiv260817209", "title": "Teach and Grow: An Agent-Centered Architecture for General Robot Learning", "url": "https://arxiv.org/abs/2608.17209", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "teach-and-grow", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 54, "key": "patel2026bpp", "title": "Behavior Prompting Policy: Demonstrations as Prompts for Manipulation", "url": "https://arxiv.org/abs/2606.30457", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "behavior-prompting-policy", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 55, "key": "ding2026contextflow", "title": "ContextFlow: In-Context Flow Matching for Robot Manipulation", "url": "https://arxiv.org/abs/2609.06852v1", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "contextflow", "note": "Verified manipulation policy in the original primary source." }, { "number": 56, "key": "walke2023bridge", "title": "BridgeData V2: A Dataset for Robot Learning at Scale", "url": "https://arxiv.org/abs/2308.12952", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 57, "key": "oxe2023", "title": "Open X-Embodiment: Robotic Learning Datasets and RT-X Models", "url": "https://arxiv.org/abs/2310.08864", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "rt-x", "note": "Verified manipulation policy in the original primary source." }, { "number": 58, "key": "khazatsky2024droid", "title": "DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset", "url": "https://arxiv.org/abs/2403.12945", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 59, "key": "fang2023rh20t", "title": "RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot", "url": "https://arxiv.org/abs/2307.00595", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 60, "key": "agibot2025", "title": "AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems", "url": "https://arxiv.org/abs/2503.06669", "role": "data", "status": "indexed", "workId": "go1", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 61, "key": "galaxea2025", "title": "Galaxea Open-World Dataset and G0 Dual-System VLA Model", "url": "https://arxiv.org/abs/2509.00576", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "galaxea-g0", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 62, "key": "chi2024umi", "title": "Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots", "url": "https://arxiv.org/abs/2402.10329", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 63, "key": "hoi4d2022", "title": "HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction", "url": "https://arxiv.org/abs/2203.01577", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 64, "key": "hot3d2025", "title": "HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos", "url": "https://arxiv.org/abs/2411.19167", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 65, "key": "egodex2025", "title": "EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video", "url": "https://arxiv.org/abs/2505.11709", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 66, "key": "ohkawa2026yubi", "title": "YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale", "url": "https://arxiv.org/abs/2606.10244", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 67, "key": "egoscale2026", "title": "EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data", "url": "https://arxiv.org/abs/2602.16710", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 68, "key": "grauman2021ego4d", "title": "Ego4D: Around the World in 3,000 Hours of Egocentric Video", "url": "https://arxiv.org/abs/2110.07058", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 69, "key": "damen2020epic100", "title": "Rescaling Egocentric Vision", "url": "https://arxiv.org/abs/2006.13256", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 70, "key": "grauman2023egoexo4d", "title": "Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives", "url": "https://arxiv.org/abs/2311.18259", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 71, "key": "goyal2017something", "title": "The \"something something\" video database for learning and evaluating visual common sense", "url": "https://arxiv.org/abs/1706.04261", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 72, "key": "assembly1012022", "title": "Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities", "url": "https://arxiv.org/abs/2203.14712", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 73, "key": "holoassist2023", "title": "HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World", "url": "https://arxiv.org/abs/2309.17024", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 74, "key": "mandlekar2023mimicgen", "title": "MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations", "url": "https://arxiv.org/abs/2310.17596", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 75, "key": "robocasa2024", "title": "RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots", "url": "https://arxiv.org/abs/2406.02523", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 76, "key": "ahn2024autort", "title": "AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents", "url": "https://arxiv.org/abs/2401.12963", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "autort", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 77, "key": "qian2026synthicl", "title": "SynthICL: Scalable In-context Imitation Learning with Synthetic Data", "url": "https://arxiv.org/abs/2606.08154", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "synthicl", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 78, "key": "sermanet2017tcn", "title": "Time-Contrastive Networks: Self-Supervised Learning from Video", "url": "https://arxiv.org/abs/1704.06888", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 79, "key": "zakka2021xirl", "title": "XIRL: Cross-embodiment Inverse Reinforcement Learning", "url": "https://arxiv.org/abs/2106.03911", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 80, "key": "kedia2024rhyme", "title": "One-Shot Imitation under Mismatched Execution", "url": "https://arxiv.org/abs/2409.06615", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "rhyme", "note": "Verified manipulation policy in the original primary source." }, { "number": 81, "key": "agia2024sentinel", "title": "Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress", "url": "https://arxiv.org/abs/2410.04640", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 82, "key": "xu2025faildetect", "title": "Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies", "url": "https://arxiv.org/abs/2503.08558", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 83, "key": "arxiv241104549", "title": "Vision Language Models are In-Context Value Learners", "url": "https://arxiv.org/abs/2411.04549", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 84, "key": "liu2023reflect", "title": "REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction", "url": "https://arxiv.org/abs/2306.15724", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "reflect", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 85, "key": "duan2024aha", "title": "AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation", "url": "https://arxiv.org/abs/2410.00371", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 86, "key": "ren2023knowno", "title": "Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners", "url": "https://arxiv.org/abs/2307.01928", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "knowno", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 87, "key": "dai2024racer", "title": "RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning", "url": "https://arxiv.org/abs/2409.14674", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "racer", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 88, "key": "chen2026zeva", "title": "Zeva: In-Context Causal Learning for Generalizable Embodied Manipulation", "url": "https://arxiv.org/abs/2608.30880", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "zeva", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 89, "key": "xiao2026enpire", "title": "ENPIRE: Agentic Robot Policy Self-Improvement in the Real World", "url": "https://arxiv.org/abs/2606.19980v1", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "enpire", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 90, "key": "arxiv260816590", "title": "Zetta zeta: An Efficient Closed-Loop Embodied Harness for Self-Evolving Physical Intelligence", "url": "https://arxiv.org/abs/2608.16590", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "zetta", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 91, "key": "wang2026instantfold", "title": "Instant-Fold: In-Context Imitation Learning for Deformable Object Manipulation", "url": "https://arxiv.org/abs/2606.04269", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "instant-fold", "note": "Verified manipulation policy in the original primary source." }, { "number": 92, "key": "palma2026bicicle", "title": "Bimanual Robot Manipulation via Multi-Agent In-Context Learning", "url": "https://arxiv.org/abs/2604.20348", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "bicicle", "note": "Verified manipulation policy in the original primary source." }, { "number": 93, "key": "chen2025manilong", "title": "ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation", "url": "https://ojs.aaai.org/index.php/AAAI/article/view/38881", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "manilong-shot", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 94, "key": "cheng2026gptpolicyeval", "title": "In-Context Robot Learning with VLM Agents", "url": "https://arxiv.org/abs/2609.19138", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "gpt-policy", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 95, "key": "arxiv260818618", "title": "LabDex: A Hierarchical Benchmark for Dexterous Manipulation in Laboratories", "url": "https://arxiv.org/abs/2608.18618", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 96, "key": "tang2023saytap", "title": "SayTap: Language to Quadrupedal Locomotion", "url": "https://arxiv.org/abs/2306.07580", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Quadrupedal locomotion only; no manipulation evaluation.", "decisionSource": "https://arxiv.org/abs/2306.07580" }, { "number": 97, "key": "wu2026adatracker", "title": "AdaTracker: Learning Adaptive In-Context Policy for Cross-Embodiment Active Visual Tracking", "url": "https://arxiv.org/abs/2604.20305", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "AdaTracker evaluates active visual tracking across mobile robot / aerial embodiments rather than object manipulation.", "decisionSource": "https://arxiv.org/abs/2604.20305" }, { "number": 98, "key": "generalist2026gen15", "title": "GEN-1.5: Embodied Foundation Models are One-Shot Learners", "url": "https://generalistai.com/blog/gen-1.5", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "gen-1-5", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 99, "key": "skild2026s1", "title": "Introducing S1: In-Context Learning for Robotics", "url": "https://www.skild.ai/blogs/s1", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "skild-s1", "note": "Verified manipulation policy in the original primary source." }, { "number": 100, "key": "jiang2022vima", "title": "VIMA: General Robot Manipulation with Multimodal Prompts", "url": "https://arxiv.org/abs/2210.03094", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "vima", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 101, "key": "zhou2026imitator", "title": "The Imitator Game: Benchmarking Robot Imitative Ability Beyond Action Prediction", "url": "https://arxiv.org/abs/2608.22301", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 102, "key": "ruoss2025lmact", "title": "LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations", "url": "https://proceedings.mlr.press/v267/ruoss25a.html", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 103, "key": "dai2026robomme", "title": "RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies", "url": "https://arxiv.org/abs/2603.04639", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 104, "key": "sun2026memobench", "title": "MEMOBench: A Process Level Memory Benchmark for Robotic Manipulation", "url": "https://arxiv.org/abs/2609.07047", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 105, "key": "gao2026gmp", "title": "Gated Memory Policy: In-Context Memorization and Adaptation", "url": "https://arxiv.org/abs/2604.18933", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "gated-memory-policy", "note": "Verified manipulation policy in the original primary source." }, { "number": 106, "key": "zhou2025liberopro", "title": "LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization", "url": "https://arxiv.org/abs/2510.03827", "role": "evaluation", "status": "indexed", "workId": "libero-pro", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 107, "key": "arxiv260217659", "title": "When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs", "url": "https://arxiv.org/abs/2602.17659", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 108, "key": "arxiv260317300", "title": "ReSteer: Quantifying and Refining the Steerability of Multitask Robot Policies", "url": "https://arxiv.org/abs/2603.17300", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 109, "key": "arxiv260602277", "title": "RoboSemanticBench: Diagnosing Semantic Grounding in Action Prediction for VLA Models", "url": "https://arxiv.org/abs/2606.02277", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 110, "key": "arxiv260830536", "title": "Behavior-Skill: A Fine-Grained Benchmark for Evaluating Vision-Language-Action Policies in Long-Horizon Tasks", "url": "https://arxiv.org/abs/2608.30536", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 111, "key": "chan2022distribution", "title": "Data Distributional Properties Drive Emergent In-Context Learning in Transformers", "url": "https://arxiv.org/abs/2205.05055", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 112, "key": "vonoswald2022gradient", "title": "Transformers Learn In-Context by Gradient Descent", "url": "https://proceedings.mlr.press/v202/von-oswald23a.html", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 113, "key": "min2022metaicl", "title": "MetaICL: Learning to Learn In Context", "url": "https://arxiv.org/abs/2110.15943v2", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 114, "key": "bousmalis2023robocat", "title": "RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation", "url": "https://arxiv.org/abs/2306.11706", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "robocat", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 115, "key": "ma2023eureka", "title": "Eureka: Human-Level Reward Design via Coding Large Language Models", "url": "https://arxiv.org/abs/2310.12931", "role": "training", "status": "indexed", "workId": "eureka", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 116, "key": "ma2024dreureka", "title": "DrEureka: Language Model Guided Sim-To-Real Transfer", "url": "https://arxiv.org/abs/2406.01967", "role": "training", "status": "indexed", "workId": "dreureka", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 117, "key": "liang2024lmpc", "title": "Learning to Learn Faster from Human Feedback with Language Model Predictive Control", "url": "https://arxiv.org/abs/2402.11450", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "lmpc", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 118, "key": "kim2024openvla", "title": "OpenVLA: An Open-Source Vision-Language-Action Model", "url": "https://arxiv.org/abs/2406.09246", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "openvla", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 119, "key": "black2024pi0", "title": "π_0: A Vision-Language-Action Flow Model for General Robot Control", "url": "https://arxiv.org/abs/2410.24164", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "pi0", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 120, "key": "nvidia2025gr00t", "title": "GR00T N1: An Open Foundation Model for Generalist Humanoid Robots", "url": "https://arxiv.org/abs/2503.14734", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "grootn1", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 121, "key": "brown2020fewshot", "title": "Language Models are Few-Shot Learners", "url": "https://arxiv.org/abs/2005.14165", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 122, "key": "argall2009survey", "title": "A Survey of Robot Learning from Demonstration", "url": "https://publications.ri.cmu.edu/a-survey-of-robot-learning-from-demonstration", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 123, "key": "ravichandar2020survey", "title": "Recent Advances in Robot Learning from Demonstration", "url": "https://www.annualreviews.org/content/journals/10.1146/annurev-control-100819-063206", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 124, "key": "dong2024iclsurvey", "title": "A Survey on In-context Learning", "url": "https://aclanthology.org/2024.emnlp-main.64/", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 125, "key": "moeini2025icrlsurvey", "title": "A Survey of In-Context Reinforcement Learning", "url": "https://arxiv.org/abs/2502.07978", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 126, "key": "ma2026humanvideosurvey", "title": "Robot Learning from Human Videos: A Survey", "url": "https://arxiv.org/abs/2604.27621", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 127, "key": "run2026nonstationary", "title": "In-Context Reinforcement Learning under Non-Stationarity: A Survey", "url": "https://arxiv.org/abs/2607.11906", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 128, "key": "hou2026worldmodel", "title": "World Model for Robot Learning: A Comprehensive Survey", "url": "https://arxiv.org/abs/2605.00080", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 129, "key": "wang2026vladata", "title": "Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines", "url": "https://arxiv.org/abs/2604.23001", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 130, "key": "domae2026embodimentgap", "title": "The Embodiment Gap in Robot Foundation Models", "url": "https://arxiv.org/abs/2608.18433", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 131, "key": "liu2022revolver", "title": "REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer", "url": "https://proceedings.mlr.press/v162/liu22p.html", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 132, "key": "doshi2024crossformer", "title": "Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation", "url": "https://arxiv.org/abs/2408.11812", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "crossformer", "note": "Verified manipulation policy in the original primary source." }, { "number": 133, "key": "gupta2026kinematic", "title": "Demonstrate once, execute on many: Kinematic intelligence for cross-robot skill transfer", "url": "https://doi.org/10.1126/scirobotics.aea1995", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "kinematic-intelligence", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 134, "key": "fikes1971strips", "title": "STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving", "url": "https://www.sciencedirect.com/science/article/pii/0004370271900105", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 135, "key": "brooks1985subsumption", "title": "A Robust Layered Control System for a Mobile Robot", "url": "https://people.csail.mit.edu/brooks/papers/AIM-864.pdf", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 136, "key": "khatib1987operational", "title": "A Unified Approach for Motion and Force Control of Robot Manipulators: The Operational Space Formulation", "url": "https://khatib.stanford.edu/publications/pdfs/Khatib_1987_RA.pdf", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 137, "key": "kaelbling2011hpn", "title": "Hierarchical Task and Motion Planning in the Now", "url": "https://people.csail.mit.edu/tlp/pdf/2011/hpnICRA11Final.pdf", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 138, "key": "marzinotto2014bt", "title": "Towards a Unified Behavior Trees Framework for Robot Control", "url": "https://www.csc.kth.se/~ccs/Publications/icra14b.html", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 139, "key": "levine2015visuomotor", "title": "End-to-End Training of Deep Visuomotor Policies", "url": "https://arxiv.org/abs/1504.00702", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 140, "key": "kalashnikov2018qtopt", "title": "QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation", "url": "https://arxiv.org/abs/1806.10293", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 141, "key": "sharma2023medal", "title": "Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning", "url": "https://arxiv.org/abs/2303.01488", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 142, "key": "arxiv260829967", "title": "Training-Free Action Correction for VLA Model Failures via Language Feedback", "url": "https://arxiv.org/abs/2608.29967", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "correctvla", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 143, "key": "lesort2019continual", "title": "Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges", "url": "https://arxiv.org/abs/1907.00182", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 144, "key": "hospedales2022metalearning", "title": "Meta-Learning in Neural Networks: A Survey", "url": "https://arxiv.org/abs/2004.05439", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 145, "key": "hu2025agentmemory", "title": "Memory in the Age of AI Agents", "url": "https://arxiv.org/abs/2512.13564", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 146, "key": "yu2017uposi", "title": "Preparing for the Unknown: Learning a Universal Policy with Online System Identification", "url": "https://arxiv.org/abs/1702.02453", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "up-osi", "note": "Verified manipulation policy in the original primary source." }, { "number": 147, "key": "zhou2019wtl", "title": "Watch, Try, Learn: Meta-Learning from Demonstrations and Reward", "url": "https://arxiv.org/abs/1906.03352", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "watch-try-learn", "note": "Verified manipulation policy in the original primary source." }, { "number": 148, "key": "jang2022bcz", "title": "BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning", "url": "https://arxiv.org/abs/2202.02005", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "bc-z", "note": "Verified manipulation policy in the original primary source." }, { "number": 149, "key": "pari2021vinn", "title": "The Surprising Effectiveness of Representation Learning for Visual Imitation", "url": "https://www.roboticsproceedings.org/rss18/p010.pdf", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "vinn", "note": "Verified manipulation policy in the original primary source." }, { "number": 150, "key": "bahl2022whirl", "title": "Human-to-Robot Imitation in the Wild", "url": "https://human2robot.github.io/resources/paper.pdf", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 151, "key": "fei2025generallevel", "title": "On Path to Multimodal Generalist: General-Level and General-Bench", "url": "https://arxiv.org/abs/2505.04620", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 152, "key": "park2026recap", "title": "Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time", "url": "https://arxiv.org/abs/2606.15631", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "recap-retrieval", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 153, "key": "yin2024roboprompt", "title": "In-Context Learning Enables Robot Action Prediction in LLMs", "url": "https://arxiv.org/abs/2410.12782", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "roboprompt", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 154, "key": "sridhar2024regent", "title": "REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments", "url": "https://arxiv.org/abs/2412.04759", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "regent", "note": "Verified manipulation policy in the original primary source." }, { "number": 155, "key": "park2025demodiffusion", "title": "DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy", "url": "https://arxiv.org/abs/2506.20668", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "demodiffusion", "note": "Verified manipulation policy in the original primary source." }, { "number": 156, "key": "zhang2024imop", "title": "One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation", "url": "https://www.roboticsproceedings.org/rss20/p134.html", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "imop", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 157, "key": "james2018tec", "title": "Task-Embedded Control Networks for Few-Shot Imitation Learning", "url": "https://arxiv.org/abs/1810.03237", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "tecnet", "note": "Verified manipulation policy in the original primary source." }, { "number": 158, "key": "dasari2020tosil", "title": "Transformers for One-Shot Visual Imitation", "url": "https://arxiv.org/abs/2011.05970", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "t-osil", "note": "Verified manipulation policy in the original primary source." }, { "number": 159, "key": "chen2025vivla", "title": "See Once, Then Act: Vision-Language-Action Model with Task Learning from One-Shot Video Demonstrations", "url": "https://arxiv.org/abs/2512.07582", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "vivla", "note": "Verified manipulation policy in the original primary source." }, { "number": 160, "key": "huang2026mint", "title": "Mimic Intent, Not Just Trajectories", "url": "https://www.roboticsproceedings.org/rss22/p206.html", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "mint", "note": "Verified manipulation policy in the original primary source." }, { "number": 161, "key": "she2026matchingpolicy", "title": "MatchingPolicy: Correspondence-Aware Policy Enables Cross-Object In-Context Learning", "url": "https://arxiv.org/abs/2608.16715", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "matchingpolicy", "note": "Verified manipulation policy in the original primary source." }, { "number": 162, "key": "arxiv260805738", "title": "In-Context VLA: Endowing Vision-Language-Action Models with Language via In-Context Post-Training and Agentic Tool Use", "url": "https://arxiv.org/abs/2608.05738", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "vla-talker", "note": "Verified manipulation policy in the original primary source." }, { "number": 163, "key": "xu2026stellavla", "title": "StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models", "url": "https://arxiv.org/abs/2608.11671", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "stellavla", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 164, "key": "chang2023awda", "title": "One-shot Visual Imitation via Attributed Waypoints and Demonstration Augmentation", "url": "https://arxiv.org/abs/2302.04856", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "awda", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 165, "key": "zhu2024orion", "title": "Vision-based Manipulation from Single Human Video with Open-World Object Graphs", "url": "https://arxiv.org/abs/2405.20321", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "orion", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 166, "key": "arxiv260322435", "title": "CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation", "url": "https://arxiv.org/abs/2603.22435", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "cap-x", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 167, "key": "torabi2018bco", "title": "Behavioral Cloning from Observation", "url": "https://arxiv.org/abs/1805.01954", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 168, "key": "allu2025hrt1", "title": "HRT1: One-Shot Human-to-Robot Trajectory Transfer for Mobile Manipulation", "url": "https://arxiv.org/abs/2510.21026", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "hrt1", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 169, "key": "vecerik2023robotap", "title": "RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation", "url": "https://arxiv.org/abs/2308.15975", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "robotap", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 170, "key": "vitiello2023pose", "title": "One-Shot Imitation Learning: A Pose Estimation Perspective", "url": "https://proceedings.mlr.press/v229/vitiello23a.html", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "trajectory-transfer-pose", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 171, "key": "biza2023warping", "title": "One-shot Imitation Learning via Interaction Warping", "url": "https://proceedings.mlr.press/v229/biza23a.html", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "interaction-warping", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 172, "key": "tang2025functo", "title": "FUNCTO: Function-Centric One-Shot Imitation Learning for Tool Manipulation", "url": "https://arxiv.org/abs/2502.11744", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "functo", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 173, "key": "liu2024magic", "title": "One-Shot Manipulation Strategy Learning by Making Contact Analogies", "url": "https://arxiv.org/abs/2411.09627", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "magic-contact", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 174, "key": "defarias2025gift", "title": "GIFT: Geometry-Induced Functional Transfer for Category-level Object Manipulation", "url": "https://arxiv.org/abs/2503.15371", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "gift-functional-transfer", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 175, "key": "zhu2026sparsedense", "title": "Sparse Meets Dense: Correspondence Guided Robotic Manipulation with Rigid-Deformable Interactions", "url": "https://arxiv.org/abs/2608.01083", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "sparse-meets-dense", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 176, "key": "oh2026vlaff", "title": "VLAff: Vision-Language-Affordance Model for Unified Actionable Affordances", "url": "https://arxiv.org/abs/2608.05215", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "vlaff", "note": "Verified manipulation policy in the original primary source." }, { "number": 177, "key": "wichitwechkarn2025annotationfree", "title": "Annotation-Free One-Shot Imitation Learning for Multi-Step Manipulation Tasks", "url": "https://arxiv.org/abs/2509.24972", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "af-osil-ms", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 178, "key": "survey2026wam", "title": "World Action Models: The Next Frontier in Embodied AI", "url": "https://arxiv.org/abs/2605.12090", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 179, "key": "srinivas2018upn", "title": "Universal Planning Networks", "url": "https://arxiv.org/abs/1804.00645", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "universal-planning-networks", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 180, "key": "li2025embodiedwm", "title": "A Comprehensive Survey on World Models for Embodied AI", "url": "https://arxiv.org/abs/2510.16732", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 181, "key": "nguyen2026iclr", "title": "ICLR: In-Context Imitation Learning with Visual Reasoning", "url": "https://arxiv.org/abs/2603.07530", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "iclr-visual-reasoning", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 182, "key": "son2026seetraceact", "title": "SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration Videos", "url": "https://arxiv.org/abs/2606.02745", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "seetraceact", "note": "Verified manipulation policy in the original primary source." }, { "number": 183, "key": "choi2026ponderpounce", "title": "PonderPounce: A Pretrained MLLM as an Episode Context Engine for Robot Control", "url": "https://arxiv.org/abs/2608.24115", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "ponderpounce", "note": "Verified manipulation policy in the original primary source." }, { "number": 184, "key": "huang2023voxposer", "title": "VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models", "url": "https://arxiv.org/abs/2307.05973", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "voxposer", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 185, "key": "ahn2022saycan", "title": "Do As I Can, Not As I Say: Grounding Language in Robotic Affordances", "url": "https://arxiv.org/abs/2204.01691", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "saycan", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 186, "key": "huang2022monologue", "title": "Inner Monologue: Embodied Reasoning through Planning with Language Models", "url": "https://arxiv.org/abs/2207.05608", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "inner-monologue", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 187, "key": "physcap2026", "title": "PhysCaP: Grounding Code-as-Policy Agent with Physics-Informed Exploration", "url": "https://arxiv.org/abs/2608.21031", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "physcap", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 188, "key": "feng2026regrind", "title": "A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation", "url": "https://arxiv.org/abs/2607.11874", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 189, "key": "fang2024kalm", "title": "Keypoint Abstraction using Large Models for Object-Relative Imitation Learning", "url": "https://arxiv.org/abs/2410.23254", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "kalm", "note": "Verified manipulation policy in the original primary source." }, { "number": 190, "key": "haldar2025pointpolicy", "title": "Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation", "url": "https://arxiv.org/abs/2502.20391", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "point-policy", "note": "Verified manipulation policy in the original primary source." }, { "number": 191, "key": "li2025emp", "title": "Elastic Motion Policy: An Adaptive Dynamical System for Robust and Efficient One-Shot Imitation Learning", "url": "https://arxiv.org/abs/2503.08029", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "elastic-motion-policy", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 192, "key": "yuan2024robopoint", "title": "RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics", "url": "https://arxiv.org/abs/2406.10721", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 193, "key": "qu2025spatialvla", "title": "SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model", "url": "https://arxiv.org/abs/2501.15830", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "spatialvla", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 194, "key": "chaumette2006visualservo", "title": "Visual Servo Control, Part I: Basic Approaches", "url": "https://web.mit.edu/amcp/OldFiles/drg/Chaumette_Part_I.pdf", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 195, "key": "fan2026rtcf", "title": "Retrieve in Time, Correct in Frequency", "url": "https://arxiv.org/abs/2608.04527", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "rtcf", "note": "Verified manipulation policy in the original primary source." }, { "number": 196, "key": "li2020focal", "title": "FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization", "url": "https://arxiv.org/abs/2010.01112", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "FOCAL evaluates Point-Robot navigation and MuJoCo locomotion; no manipulation experiment.", "decisionSource": "https://arxiv.org/abs/2010.01112" }, { "number": 197, "key": "yuan2022corro", "title": "Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning", "url": "https://arxiv.org/abs/2206.10442", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "CORRO evaluates Point-Robot, Half-Cheetah and Ant task families; its object-manipulation discussion is motivational, not an evaluated arm policy.", "decisionSource": "https://arxiv.org/abs/2206.10442" }, { "number": 198, "key": "li2026rememvla", "title": "ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries", "url": "https://arxiv.org/abs/2603.12942", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "remem-vla", "note": "Verified manipulation policy in the original primary source." }, { "number": 199, "key": "cherepanov2026muvla", "title": "μVLA: On Recurrent Memory for Partially Observable Manipulation in VLA Models", "url": "https://arxiv.org/abs/2606.12497", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "mu-vla", "note": "Verified manipulation policy in the original primary source." }, { "number": 200, "key": "yang2026eventvla", "title": "EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies", "url": "https://arxiv.org/abs/2606.20092", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "eventvla", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 201, "key": "oh2025rip", "title": "Robust Instant Policy: Leveraging Student's t-Regression Model for Robust In-context Imitation Learning of Robot Manipulation", "url": "https://arxiv.org/abs/2506.15157", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "robust-instant-policy", "note": "Verified manipulation policy in the original primary source." }, { "number": 202, "key": "grigsby2023amago", "title": "AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents", "url": "https://arxiv.org/abs/2310.09971", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "amago", "note": "Verified manipulation policy in the original primary source." }, { "number": 203, "key": "elawady2024relic", "title": "ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI", "url": "https://arxiv.org/abs/2410.02751", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "ReLIC evaluates visual object navigation; mobile rearrangement is proposed future work rather than an experiment.", "decisionSource": "https://arxiv.org/abs/2410.02751" }, { "number": 204, "key": "shah2026halo", "title": "Memory Retrieval in Visuomotor Policies for Long-Horizon Robot Control", "url": "https://arxiv.org/abs/2606.25136", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "halo", "note": "Verified manipulation policy in the original primary source." }, { "number": 205, "key": "arxiv260826821", "title": "TemporalFlow-VLA: Learning Physically Grounded Execution History for Long-Horizon Robot Manipulation", "url": "https://arxiv.org/abs/2608.26821", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "temporalflow-vla", "note": "Verified manipulation policy in the original primary source." }, { "number": 206, "key": "arxiv260829537", "title": "AGM: Achievement-Grounded Memory for Closed-Loop Agents with Frozen VLA Policies", "url": "https://arxiv.org/abs/2608.29537", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "agm", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 207, "key": "arxiv260708448", "title": "Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents", "url": "https://arxiv.org/abs/2607.08448v4", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "harness-vla", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 208, "key": "arxiv260821204", "title": "Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning", "url": "https://arxiv.org/abs/2608.21204", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "q-planning", "note": "Verified manipulation policy in the original primary source." }, { "number": 209, "key": "shi2026memoryvlapp", "title": "MemoryVLA++: Temporal Modeling via Memory and Imagination in Vision-Language-Action Models", "url": "https://arxiv.org/abs/2606.09827", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "memoryvla-plusplus", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 210, "key": "chen2026steerable", "title": "Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control", "url": "https://arxiv.org/abs/2602.13193", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "steerable-policies", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 211, "key": "liu2026guava", "title": "Guava: An Effective and Universal Harness for Embodied Manipulation", "url": "https://arxiv.org/abs/2606.18363", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "guava", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 212, "key": "galanti2026physicalagency", "title": "Addressing the Orchestration Gap in Generalist Robots via Physical Agency", "url": "https://arxiv.org/abs/2607.21725", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "pigey", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 213, "key": "singh2024malmm", "title": "MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation", "url": "https://arxiv.org/abs/2411.17636", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "malmm", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 214, "key": "curtis2025proc3s", "title": "Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction", "url": "https://proceedings.mlr.press/v270/curtis25a.html", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "proc3s", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 215, "key": "sarch2024ical", "title": "VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought", "url": "https://papers.nips.cc/paper_files/paper/2024/hash/8ac50fd0a4eeeb1f077b17bb7c5353c3-Abstract-Conference.html", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "ical", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 216, "key": "ju2026embodiskill", "title": "EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents", "url": "https://arxiv.org/abs/2605.10332", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "embodiskill", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 217, "key": "xie2026uniskillrepo", "title": "Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation", "url": "https://arxiv.org/abs/2603.02623", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "uni-skill", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 218, "key": "kumar2026aor", "title": "Act-Observe-Rewrite: Multimodal Coding Agents as In-Context Policy Learners for Robot Manipulation", "url": "https://arxiv.org/abs/2603.04466", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "act-observe-rewrite", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 219, "key": "hu2026orchestrating", "title": "What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents", "url": "https://arxiv.org/abs/2606.10267", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "hi-vla-design", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 220, "key": "cui2026roboclaw", "title": "RoboClaw: An Agentic Framework for Scalable Long-Horizon Robotic Tasks", "url": "https://arxiv.org/abs/2603.11558", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "roboclaw", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 221, "key": "arxiv260724744", "title": "Data Pyramid for Embodied Manipulation: A Survey", "url": "https://arxiv.org/abs/2607.24744", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 222, "key": "wang2026ego2robot", "title": "Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data", "url": "https://arxiv.org/abs/2608.02580", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 223, "key": "simpleai2026hifiumi", "title": "HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone", "url": "https://arxiv.org/abs/2607.25895", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 224, "key": "zhaxizhuoma2024fastumi", "title": "FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset", "url": "https://arxiv.org/abs/2409.19499", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 225, "key": "ha2024umilegs", "title": "UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers", "url": "https://arxiv.org/abs/2407.10353", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 226, "key": "luo2026omniumi", "title": "OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction", "url": "https://arxiv.org/abs/2604.10647", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 227, "key": "james2019rlbench", "title": "RLBench: The Robot Learning Benchmark & Learning Environment", "url": "https://arxiv.org/abs/1909.12271", "role": "evaluation", "status": "indexed", "workId": "rlbench", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 228, "key": "liu2023libero", "title": "LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning", "url": "https://arxiv.org/abs/2306.03310", "role": "evaluation", "status": "indexed", "workId": "libero", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 229, "key": "gu2023maniskill2", "title": "ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills", "url": "https://arxiv.org/abs/2302.04659", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 230, "key": "chen2025robotwin2", "title": "RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation", "url": "https://arxiv.org/abs/2506.18088", "role": "evaluation", "status": "indexed", "workId": "robotwin2", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 231, "key": "vaswani2017attention", "title": "Attention Is All You Need", "url": "https://arxiv.org/abs/1706.03762", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 232, "key": "reddy2023abrupt", "title": "The mechanistic basis of data dependence and abrupt learning in an in-context classification task", "url": "https://arxiv.org/abs/2312.03002", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 233, "key": "yu2026walloss05", "title": "Wall-OSS-0.5 Technical Report", "url": "https://arxiv.org/abs/2605.30877v2", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "wall-oss05", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 234, "key": "dehaan2019causal", "title": "Causal Confusion in Imitation Learning", "url": "https://papers.neurips.cc/paper_files/paper/2019/hash/947018640bf36a2bb609d3557a285329-Abstract.html", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 235, "key": "torne2025ptp", "title": "Learning Long-Context Diffusion Policies via Past-Token Prediction", "url": "https://arxiv.org/abs/2505.09561", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "past-token-prediction", "note": "Verified manipulation policy in the original primary source." }, { "number": 236, "key": "mtopt2021", "title": "MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale", "url": "https://arxiv.org/abs/2104.08212", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 237, "key": "bridge2021", "title": "Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets", "url": "https://arxiv.org/abs/2109.13396", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 238, "key": "agibot2026release", "title": "AgiBot World 2026", "url": "https://huggingface.co/datasets/agibot-world/AgiBotWorld2026", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 239, "key": "agibot2026corrections", "title": "AGIBOT Releases AGIBOT WORLD 2026 Theme 3 for Real-World Robot Reinforcement Learning", "url": "https://agibot.com/article/231/detail/95.html", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 240, "key": "robomind2024", "title": "RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation", "url": "https://arxiv.org/abs/2412.13877", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 241, "key": "robomind2025v2", "title": "RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence", "url": "https://arxiv.org/abs/2512.24653", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 242, "key": "robocoin2025", "title": "RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation", "url": "https://arxiv.org/abs/2511.17441", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 243, "key": "bharadhwaj2023roboagent", "title": "RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking", "url": "https://arxiv.org/abs/2309.01918", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "roboagent", "note": "Verified manipulation policy in the original primary source." }, { "number": 244, "key": "xu2026bimanualscaling", "title": "Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy Corrections", "url": "https://arxiv.org/abs/2609.03591", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "xr2", "note": "Verified manipulation policy in the original primary source." }, { "number": 245, "key": "shah2025mimicdroid", "title": "MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos", "url": "https://arxiv.org/abs/2509.09769", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "mimicdroid", "note": "Verified manipulation policy in the original primary source." }, { "number": 246, "key": "li2026aceego", "title": "ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining", "url": "https://arxiv.org/abs/2606.17200", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 247, "key": "xiaomi2026robotics1", "title": "Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories", "url": "https://arxiv.org/abs/2607.15330", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "xiaomi1", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 248, "key": "punamiya2026egoverse", "title": "EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World", "url": "https://arxiv.org/abs/2604.07607", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 249, "key": "aoe2026openaoe", "title": "Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning", "url": "https://arxiv.org/abs/2607.14183", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 250, "key": "cao2026acedata", "title": "ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine", "url": "https://arxiv.org/abs/2607.28625", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 251, "key": "wang2023mimicplay", "title": "MimicPlay: Long-Horizon Imitation Learning by Watching Human Play", "url": "https://arxiv.org/abs/2302.12422", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "mimicplay", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 252, "key": "openai2026astratraining", "title": "Public Summary of Training Content for GPT-6 Astra", "url": "https://cdn.openai.com/pdf/gpt-6-astra-eu-ai-act-public-summary-of-training-content.pdf", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 253, "key": "raventos2023diversity", "title": "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression", "url": "https://arxiv.org/abs/2306.15063", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 254, "key": "ghasemipour2025selfimproving", "title": "Self-Improving Embodied Foundation Models", "url": "https://arxiv.org/abs/2509.15155", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 255, "key": "qian2026robotok", "title": "RoboTok: An Internet-Scale Data Engine for Human Demonstration Retrieval and Dexterous Manipulation Learning", "url": "https://arxiv.org/abs/2609.03199", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 256, "key": "lin2026simdex", "title": "SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation", "url": "https://arxiv.org/abs/2608.04196", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 257, "key": "zhou2025yoto", "title": "You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations", "url": "https://www.roboticsproceedings.org/rss21/p149.html", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 258, "key": "zhou2026bidemosyn", "title": "One-Shot Real-World Demonstration Synthesis for Scalable Bimanual Manipulation", "url": "https://www.roboticsproceedings.org/rss22/p001.html", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 259, "key": "robosplat2025", "title": "Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation", "url": "https://www.roboticsproceedings.org/rss21/p146.html", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 260, "key": "bonardi2019humans", "title": "Learning One-Shot Imitation from Humans without Humans", "url": "https://arxiv.org/abs/1911.01103", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "tecnet-humans", "note": "Verified manipulation policy in the original primary source." }, { "number": 261, "key": "arxiv260509423", "title": "SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning", "url": "https://arxiv.org/abs/2605.09423", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 262, "key": "arxiv260831167", "title": "SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policies", "url": "https://arxiv.org/abs/2608.31167", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "sun-kuafu", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 263, "key": "arxiv260304356", "title": "RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots", "url": "https://arxiv.org/abs/2603.04356", "role": "data", "status": "indexed", "workId": "robocasa365", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 264, "key": "arxiv260519242", "title": "PhyWorld: Physics-Faithful World Model for Video Generation", "url": "https://arxiv.org/abs/2605.19242", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 265, "key": "arxiv260401985", "title": "World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry", "url": "https://arxiv.org/abs/2604.01985", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 266, "key": "arxiv250706219", "title": "Is Diversity All You Need for Scalable Robotic Manipulation?", "url": "https://arxiv.org/abs/2507.06219v1", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 267, "key": "ross2011dagger", "title": "A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning", "url": "https://proceedings.mlr.press/v15/ross11a.html", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 268, "key": "laskey2017dart", "title": "DART: Noise Injection for Robust Imitation Learning", "url": "https://arxiv.org/abs/1703.09327", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 269, "key": "hoque2021thrifty", "title": "ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning", "url": "https://arxiv.org/abs/2109.08273", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 270, "key": "arxiv260313528", "title": "Learning Actionable Manipulation Recovery via Counterfactual Failure Synthesis", "url": "https://arxiv.org/abs/2603.13528", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "dream2fix", "note": "Verified manipulation policy in the original primary source." }, { "number": 271, "key": "arxiv260421741", "title": "Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training", "url": "https://arxiv.org/abs/2604.21741", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 272, "key": "arxiv260819891", "title": "EXIMO: VLM Guided Exploration of VLA Policies", "url": "https://arxiv.org/abs/2608.19891", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "eximo", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 273, "key": "arxiv251114759", "title": "π^*_0.6: a VLA That Learns From Experience", "url": "https://arxiv.org/abs/2511.14759", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "pi06", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 274, "key": "zhao2023act", "title": "Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware", "url": "https://arxiv.org/abs/2304.13705", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "act", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 275, "key": "octo2024", "title": "Octo: An Open-Source Generalist Robot Policy", "url": "https://arxiv.org/abs/2405.12213", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "octo", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 276, "key": "brohan2022rt1", "title": "RT-1: Robotics Transformer for Real-World Control at Scale", "url": "https://arxiv.org/abs/2212.06817", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "rt1", "note": "Verified manipulation policy in the original primary source." }, { "number": 277, "key": "brohan2023rt2", "title": "RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control", "url": "https://arxiv.org/abs/2307.15818", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "rt2", "note": "Verified manipulation policy in the original primary source." }, { "number": 278, "key": "hpt2024", "title": "Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers", "url": "https://arxiv.org/abs/2409.20537", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "hpt", "note": "Verified manipulation policy in the original primary source." }, { "number": 279, "key": "liu2024rdt", "title": "RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation", "url": "https://arxiv.org/abs/2410.07864", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "rdt", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 280, "key": "arxiv251222414", "title": "Emergence of Human to Robot Transfer in Vision-Language-Action Models", "url": "https://arxiv.org/abs/2512.22414", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "human-to-robot-vla-transfer", "note": "Verified manipulation policy in the original primary source." }, { "number": 281, "key": "arxiv260415483", "title": "π_0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities", "url": "https://arxiv.org/abs/2604.15483", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "pi07", "note": "The arXiv paper is the existing π0.7 work; its paper PDF URL previously prevented an exact URL match." }, { "number": 282, "key": "vuong2025actiontokenizer", "title": "Action Tokenizer Matters in In-Context Imitation Learning", "url": "https://arxiv.org/abs/2503.01206", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "lipvq-vae", "note": "Verified manipulation policy in the original primary source." }, { "number": 283, "key": "fateh2026histat", "title": "A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics", "url": "https://arxiv.org/abs/2604.15215", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "hist-at", "note": "Verified manipulation policy in the original primary source." }, { "number": 284, "key": "arxiv260518746", "title": "ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop", "url": "https://arxiv.org/abs/2605.18746", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 285, "key": "arxiv260101075", "title": "Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments", "url": "https://arxiv.org/abs/2601.01075", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 286, "key": "arxiv260618960", "title": "Mem-World: Memory-Augmented Action-Conditioned World Models for Persistent Robot Manipulation", "url": "https://arxiv.org/abs/2606.18960", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 287, "key": "arxiv260819059", "title": "LT-Mem: Volatility-Aware Spatio-Temporal Memory for Lifelong Scene Understanding", "url": "https://arxiv.org/abs/2608.19059", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 288, "key": "arxiv260900619", "title": "DSG: Dynamic 3D Scene Graph Construction for Embodied Agents in Changing Indoor Environments", "url": "https://arxiv.org/abs/2609.00619", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 289, "key": "arxiv260900950", "title": "HitMem: Hierarchical Temporal 3D Memory with Multi-Modal Context-Aware Retrieval for Dynamic Environments", "url": "https://arxiv.org/abs/2609.00950", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 290, "key": "arxiv260601247", "title": "Where to Look: Can Foundation Models Reach a Target Viewpoint Through Active Exploration?", "url": "https://arxiv.org/abs/2606.01247", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Target-viewpoint reproduction through camera/body motion, without object manipulation.", "decisionSource": "https://arxiv.org/abs/2606.01247" }, { "number": 291, "key": "arxiv260817129", "title": "PROBE: Manipulation-Grounded Visual Question Answering with VLM Agents", "url": "https://arxiv.org/abs/2608.17129", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "mg-vqa", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 292, "key": "mai2026crvlaforce", "title": "CR-VLA-Force: Learning Control-aware Compliance VLA Model for Robust Contact-rich Robotic Manipulation", "url": "https://arxiv.org/abs/2609.05832v1", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "cr-vla-force", "note": "Verified manipulation policy in the original primary source." }, { "number": 293, "key": "jain2025transitions", "title": "Enabling Long(er) Horizon Imitation for Manipulation Tasks by Modeling Subgoal Transitions", "url": "https://proceedings.mlr.press/v305/jain25b.html", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "sgpt", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 294, "key": "ebert2018retrying", "title": "Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning", "url": "https://proceedings.mlr.press/v87/ebert18a.html", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "visual-mpc-retrying", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 295, "key": "bahety2024screwmimic", "title": "ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection", "url": "https://www.roboticsproceedings.org/rss20/p078.html", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "screwmimic", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 296, "key": "arxiv260623085", "title": "Foresight: Failure Detection for Long-Horizon Robotic Manipulation with Action-Conditioned World Model Latents", "url": "https://arxiv.org/abs/2606.23085", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 297, "key": "matsushima2020uncertainty", "title": "Modeling Task Uncertainty for Safe Meta-Imitation Learning", "url": "https://doi.org/10.3389/frobt.2020.606361", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "petnet", "note": "Verified manipulation policy in the original primary source." }, { "number": 298, "key": "liang2024introplan", "title": "Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity", "url": "https://arxiv.org/abs/2402.06529", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "introspective-planning", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 299, "key": "arxiv260825798", "title": "TacForcing: Streaming Action Generation with Execution-Time Tactile Feedback", "url": "https://arxiv.org/abs/2608.25798", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "tacforcing", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 300, "key": "zhang2020metacure", "title": "MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration", "url": "https://arxiv.org/abs/2006.08170", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "metacure", "note": "Verified manipulation policy in the original primary source." }, { "number": 301, "key": "cakmak2012questions", "title": "Designing Robot Learners that Ask Good Questions", "url": "https://homes.cs.washington.edu/~mcakmak/pdfs/2012/cakmak2012hri.pdf", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 302, "key": "core2026realignment", "title": "Imagining Recovery: Inference-Time Counterfactual Realignment for Vision-Language-Action Models", "url": "https://arxiv.org/abs/2608.14822", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "core-counterfactual", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 303, "key": "arxiv260511951", "title": "From Reaction to Anticipation: Proactive Failure Recovery through Agentic Task Graph for Robotic Manipulation", "url": "https://arxiv.org/abs/2605.11951", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "agentchord", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 304, "key": "chen2026volo", "title": "VoLo: A Physical Orchestrator for Open-Vocabulary Long-Horizon Manipulation", "url": "https://arxiv.org/abs/2606.07723", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "volo", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 305, "key": "li2025iclhf", "title": "In-situ Value-aligned Human-Robot Interactions with Physical Constraints", "url": "https://arxiv.org/abs/2508.07606", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "iclhf", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 306, "key": "arxiv260818701", "title": "SoftVTBench: A Deformation-Aware Visuo-Tactile Dataset and Benchmark for Deformable-Object Manipulation", "url": "https://arxiv.org/abs/2608.18701", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 307, "key": "arxiv260514504", "title": "When Robots Do the Chores: A Benchmark and Agent for Long-Horizon Household Task Execution", "url": "https://arxiv.org/abs/2605.14504", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "longact-holomind", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 308, "key": "arxiv260814441", "title": "PACE-Bench: Benchmarking Physics Adaptation via Code Evolution in Dynamic Environments", "url": "https://arxiv.org/abs/2608.14441", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 309, "key": "jiang2026benchmarkaudit", "title": "What Are We Actually Benchmarking in Robot Manipulation?", "url": "https://arxiv.org/abs/2606.04233", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 310, "key": "fei2025liberoplus", "title": "LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models", "url": "https://arxiv.org/abs/2510.13626", "role": "evaluation", "status": "indexed", "workId": "libero-plus", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 311, "key": "yu2019metaworld", "title": "Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning", "url": "https://arxiv.org/abs/1910.10897", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 312, "key": "gu2026roboreel", "title": "Monkey See, Can Monkey Do? A Benchmark for Evaluating Robot Skill Learning by Observation", "url": "https://arxiv.org/abs/2609.08209", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 313, "key": "cherepanov2025mikasa", "title": "Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning", "url": "https://arxiv.org/abs/2502.10550", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 314, "key": "arxiv260813049", "title": "H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models", "url": "https://arxiv.org/abs/2608.13049", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 315, "key": "arxiv250617811", "title": "RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models", "url": "https://arxiv.org/abs/2506.17811", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "robomonkey", "note": "Verified manipulation policy in the original primary source." }, { "number": 316, "key": "arxiv260816885", "title": "τ_0-VLA: a Hierarchical Robot Foundation Model with World-Model-Guided Test-Time Computation", "url": "https://arxiv.org/abs/2608.16885", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "tau0-vla", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 317, "key": "sato2026sail", "title": "SAIL: Test-Time Scaling for In-Context Imitation Learning with VLM", "url": "https://arxiv.org/abs/2603.08269", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "sail", "note": "Verified manipulation policy in the original primary source." }, { "number": 318, "key": "xie2021bayesian", "title": "An Explanation of In-context Learning as Implicit Bayesian Inference", "url": "https://arxiv.org/abs/2111.02080", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 319, "key": "chen2024parallel", "title": "Parallel Structures in Pre-training Data Yield In-Context Learning", "url": "https://aclanthology.org/2024.acl-long.465/", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 320, "key": "min2022demonstrations", "title": "Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?", "url": "https://aclanthology.org/2022.emnlp-main.759/", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 321, "key": "garg2022functions", "title": "What Can Transformers Learn In-Context? A Case Study of Simple Function Classes", "url": "https://arxiv.org/abs/2208.01066", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 322, "key": "shen2023gradient", "title": "Position: Do Pretrained Transformers Learn In-Context by Gradient Descent?", "url": "https://proceedings.mlr.press/v235/shen24d.html", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 323, "key": "schaeffer2023mirage", "title": "Are Emergent Abilities of Large Language Models a Mirage?", "url": "https://arxiv.org/abs/2304.15004", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 324, "key": "chung2022flan", "title": "Scaling Instruction-Finetuned Language Models", "url": "https://arxiv.org/abs/2210.11416v5", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 325, "key": "huang2026fastthinkact", "title": "Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning", "url": "https://arxiv.org/abs/2601.09708v2", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "fast-thinkact", "note": "Verified manipulation policy in the original primary source." }, { "number": 326, "key": "duan2026rsisurvey", "title": "The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement", "url": "https://arxiv.org/abs/2609.11873v1", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 327, "key": "luo2025silvr", "title": "Self-Improving Loops for Visual Robotic Planning", "url": "https://arxiv.org/abs/2506.06658", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "silvr", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 328, "key": "arxiv260212063", "title": "VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model", "url": "https://arxiv.org/abs/2602.12063", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "vlaw", "note": "Verified manipulation policy in the original primary source." }, { "number": 329, "key": "arxiv260206508", "title": "World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy", "url": "https://arxiv.org/abs/2602.06508", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "world-vla-loop", "note": "Verified manipulation policy in the original primary source." }, { "number": 330, "key": "bi2026motus2", "title": "Motus2: A Self-Evolving General World Model for Dexterous Manipulation", "url": "https://arxiv.org/abs/2608.30237", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "motus2", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 331, "key": "zala2024envgen", "title": "EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents", "url": "https://arxiv.org/abs/2403.12014", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 332, "key": "faldor2024omniepic", "title": "OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code", "url": "https://arxiv.org/abs/2405.15568", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 333, "key": "wagenmaker2025exploration", "title": "Behavioral Exploration: Learning to Explore via In-Context Adaptation", "url": "https://arxiv.org/abs/2507.09041", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "behavioral-exploration", "note": "Verified manipulation policy in the original primary source." }, { "number": 334, "key": "zintgraf2019varibad", "title": "VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning", "url": "https://arxiv.org/abs/1910.08348", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "VariBAD evaluates grid navigation and ant / cheetah locomotion, without manipulation experiments.", "decisionSource": "https://arxiv.org/abs/1910.08348" }, { "number": 335, "key": "arxiv260919824", "title": "TADreamer: Zero-Shot Language-Guided 3D Navigation for Terrestrial-Aerial Bimodal Robots via Video Imagination", "url": "https://arxiv.org/abs/2609.19824", "role": "world", "methodFamily": "world", "status": "outside-scope", "note": "Terrestrial-aerial language-guided navigation across indoor/outdoor routes; no object manipulation or contact-skill evaluation.", "decisionSource": "https://arxiv.org/abs/2609.19824" }, { "number": 336, "key": "arxiv260919315", "title": "GAVEL: Graph World Models for Verified and Efficient Long-Horizon LLM Task Planning", "url": "https://arxiv.org/abs/2609.19315", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "gavel", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 337, "key": "arxiv260920791", "title": "StageGuard: Learning Stage Transitions for Long-Horizon Robot Tasks via Agentic Distillation", "url": "https://arxiv.org/abs/2609.20791", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "stageguard", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 338, "key": "arxiv260920388", "title": "Navi-Agent: Unlocalized Monocular Navigation Agent", "url": "https://arxiv.org/abs/2609.20388", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Monocular navigation only; no manipulation policy.", "decisionSource": "https://arxiv.org/abs/2609.20388" }, { "number": 339, "key": "arxiv260919796", "title": "LIFD: Anchored Diffusion for 3D-Aware Scene Memory in Robotic Manipulation", "url": "https://arxiv.org/abs/2609.19796", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "lifd", "note": "Verified manipulation policy in the original primary source." }, { "number": 340, "key": "arxiv260920648", "title": "SkipVLA: Skipping VLA Steps with Classical Planning for Fast Robot Manipulation", "url": "https://arxiv.org/abs/2609.20648", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "skipvla", "note": "Verified manipulation policy in the original primary source." }, { "number": 341, "key": "arxiv260919906", "title": "Learning and Transferring Closed-Loop Robot Software", "url": "https://arxiv.org/abs/2609.19906", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "closed-loop-robot-software", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 342, "key": "arxiv260920659", "title": "HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface", "url": "https://arxiv.org/abs/2609.20659", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "hil-umi", "note": "Verified manipulation policy in the original primary source." }, { "number": 343, "key": "arxiv260919512", "title": "CoreSense: Traceable Failure Recall and Conflict-Aware Belief Gating for Auditable Robot Decisions", "url": "https://arxiv.org/abs/2609.19512", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "The primary paper explicitly evaluates without commanding a physical robot; signal-level belief gating and evidence recall are not an executable manipulation policy.", "decisionSource": "https://arxiv.org/abs/2609.19512" }, { "number": 344, "key": "arxiv260919554", "title": "VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control", "url": "https://arxiv.org/abs/2609.19554", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "va-bench", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 345, "key": "arxiv260914633", "title": "REVOLVE: An Automated Closed-Loop Framework for Evolving Robot Manipulation with Minimal Human Intervention", "url": "https://arxiv.org/abs/2609.14633", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "revolve", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 346, "key": "simeonov2023rndf", "title": "SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields", "url": "https://proceedings.mlr.press/v205/simeonov23a.html", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "relational-ndf", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 347, "key": "thompson2026parttransfer", "title": "One-Shot Cross-Geometry Skill Transfer through Part Decomposition", "url": "https://arxiv.org/abs/2604.15455", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "parts-shape-warping", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 348, "key": "noematrix2026roborsi", "title": "RoboRSI: Stable, Efficient, and Reusable Robot Self-Evolution in Complex Real-World Environments", "url": "https://lab.noematrix.ai/blog/2-roborsi/", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "roborsi", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 349, "key": "chen2026eta", "title": "ETA: A New Agentic Paradigm for Embodied Tasks", "url": "https://arxiv.org/abs/2608.03924", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "eta-openeta", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 350, "key": "huang2026roboharness", "title": "RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning", "url": "https://arxiv.org/abs/2607.18060", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "roboharness", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 351, "key": "zhou2024nolo", "title": "NOLO: Navigate Only Look Once", "url": "https://arxiv.org/abs/2408.01384", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "NOLO is video-conditioned navigation, without an object manipulation policy.", "decisionSource": "https://arxiv.org/abs/2408.01384" }, { "number": 352, "key": "buoso2024select2plan", "title": "Select2Plan: Training-Free ICL-Based Planning Through VQA and Memory Retrieval", "url": "https://arxiv.org/abs/2411.04006", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "High-level FPV/TPV navigation planning only.", "decisionSource": "https://arxiv.org/abs/2411.04006" }, { "number": 353, "key": "elnoor2024vlmgronav", "title": "VLM-GroNav: Robot Navigation Using Physically Grounded Vision-Language Models in Outdoor Environments", "url": "https://arxiv.org/abs/2409.20445", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Outdoor robot navigation only.", "decisionSource": "https://arxiv.org/abs/2409.20445" }, { "number": 354, "key": "anderson2018naveval", "title": "On Evaluation of Embodied Navigation Agents", "url": "https://arxiv.org/abs/1807.06757", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 355, "key": "pathak2018zeroshot", "title": "Zero-Shot Visual Imitation", "url": "https://arxiv.org/abs/1804.08606", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "zero-shot-visual-imitation", "note": "Verified manipulation policy in the original primary source." }, { "number": 356, "key": "kumar2018rpf", "title": "Visual Memory for Robust Path Following", "url": "https://arxiv.org/abs/1812.00940", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "Visual Memory for Robust Path Following evaluates navigation / homing rather than manipulation.", "decisionSource": "https://arxiv.org/abs/1812.00940" }, { "number": 357, "key": "yoo2020sparsepath", "title": "Path-Following Navigation Network Using Sparse Visual Memory", "url": "https://doi.org/10.23919/ICCAS50221.2020.9268247", "role": "policy", "methodFamily": "policy", "status": "outside-scope", "note": "Sparse visual-memory path following is a navigation system, without manipulation evaluation.", "decisionSource": "https://doi.org/10.23919/ICCAS50221.2020.9268247" }, { "number": 358, "key": "savinov2018sptm", "title": "Semi-parametric Topological Memory for Navigation", "url": "https://arxiv.org/abs/1803.00653", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Topological visual navigation memory, without manipulation execution.", "decisionSource": "https://arxiv.org/abs/1803.00653" }, { "number": 359, "key": "shah2022lmnav", "title": "LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action", "url": "https://arxiv.org/abs/2207.04429", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Navigation with language/vision/action models only.", "decisionSource": "https://arxiv.org/abs/2207.04429" }, { "number": 360, "key": "chen2023a2nav", "title": "A²Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models", "url": "https://arxiv.org/abs/2308.07997", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Action-aware visual-language navigation only.", "decisionSource": "https://arxiv.org/abs/2308.07997" }, { "number": 361, "key": "li2026cmmrvln", "title": "CMMR-VLN: Vision-and-Language Navigation via Continual Multimodal Memory Retrieval", "url": "https://arxiv.org/abs/2603.07997", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Vision-language navigation with continual memory retrieval only.", "decisionSource": "https://arxiv.org/abs/2603.07997" }, { "number": 362, "key": "liu2026hamvln", "title": "HAM-VLN: Harnessing Hierarchical Agentic Memory for Zero-Shot Vision-and-Language Navigation", "url": "https://arxiv.org/abs/2607.29600", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Hierarchical agentic memory evaluated on navigation/ObjectNav only.", "decisionSource": "https://arxiv.org/abs/2607.29600" }, { "number": 363, "key": "arxiv260924411", "title": "Zeva-Ego: Egocentric Mid-Training with In-Context Causal Learning for Robot Manipulation", "url": "https://arxiv.org/abs/2609.24411", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "zeva-ego", "note": "Verified manipulation policy in the original primary source." }, { "number": 364, "key": "arxiv260923432", "title": "RopeFormer: Cross-Trial Adaptation from Interaction History for Dynamic Rope Manipulation", "url": "https://arxiv.org/abs/2609.23432", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "ropeformer", "note": "Verified manipulation policy in the original primary source." }, { "number": 365, "key": "arxiv260922966", "title": "Transferring the Intelligence of VLMs to Robotic Control", "url": "https://arxiv.org/abs/2609.22966", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "robodawn", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 366, "key": "arxiv260924778", "title": "H2RBench: A Real-to-Sim Benchmark for Evaluating Human-to-Robot Transfer", "url": "https://arxiv.org/abs/2609.24778", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 367, "key": "arxiv260921740", "title": "Sandwich-Residuals: Parameter-Efficient Test-time Adaptation of World Models", "url": "https://arxiv.org/abs/2609.21740", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "sandwich-residuals", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 368, "key": "arxiv260921122", "title": "MetaPusher: Meta Learning and Planning for Nonprehensile Manipulation of Unseen Objects with Rapid Online Adaption", "url": "https://arxiv.org/abs/2609.21122", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "metapusher", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 369, "key": "arxiv260921229", "title": "KnowDemo: Knowledge-Guided Robot Demonstration Generation from Human Videos", "url": "https://arxiv.org/abs/2609.21229", "role": "data", "status": "adjacent-resource", "note": "Data, demonstration-capture or synthesis resource cited for context. This citation is not counted as a separately verified policy or benchmark." }, { "number": 370, "key": "jena2026weightsskills", "title": "Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills", "url": "https://arxiv.org/abs/2608.01851", "role": "foundations", "status": "indexed", "workId": "weights-or-skills-survey", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 371, "key": "lu2026wamsurvey", "title": "World-Action Models for Robot Learning and Control: A Survey", "url": "https://arxiv.org/abs/2609.16074", "role": "foundations", "status": "indexed", "workId": "wam-control-survey", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 372, "key": "li2026demonstrationiclsurvey", "title": "In-Context Learning from Demonstrations for Robotic Manipulation: A Survey", "url": "https://www.preprints.org/manuscript/202609.0780", "role": "foundations", "status": "indexed", "workId": "manipulation-icl-survey", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 373, "key": "shao2025vlasurvey", "title": "Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey", "url": "https://arxiv.org/abs/2508.13073", "role": "foundations", "status": "background", "note": "General learning, control or review background cited by the survey; retained as a bibliography reference rather than an executable manipulation method." }, { "number": 374, "key": "arxiv250912718", "title": "EvoEmpirBench: Dynamic Spatial Reasoning with Agent-ExpVer", "url": "https://ojs.aaai.org/index.php/AAAI/article/view/40979", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 375, "key": "arxiv260618847", "title": "WorldLines: Benchmarking and Modeling Long-Horizon Stateful Embodied Agents", "url": "https://arxiv.org/abs/2606.18847", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 376, "key": "huang2026affordanceharness", "title": "Affordance Agent Harness: Verification-Gated Skill Orchestration", "url": "https://arxiv.org/abs/2605.00663", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Predicts verified affordance grounding on perception benchmarks; no separately demonstrated robot manipulation policy is established.", "decisionSource": "https://arxiv.org/abs/2605.00663" }, { "number": 377, "key": "wu2026robostressbench", "title": "RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes", "url": "https://arxiv.org/abs/2606.00828", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 378, "key": "huang2026vidpairhalluc", "title": "No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs", "url": "https://arxiv.org/abs/2606.31933", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 379, "key": "li2026roboharnessk1", "title": "Robo-Harness K1: Harnessing Robot-Use Agents via Perception Augmentation", "url": "https://arxiv.org/abs/2609.29389", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "robo-harness-k1", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 380, "key": "li2026racap", "title": "RACaP: Agentic Reasoning, Acting, and Coding as Policies for Evolvable Robot Learning", "url": "https://arxiv.org/abs/2609.29394", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "racap", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 381, "key": "pala2026membodied", "title": "MemBodied: Recurrent Associative Memory for Vision-Language-Action Models", "url": "https://arxiv.org/abs/2609.28256", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "membodied", "note": "Verified manipulation policy in the original primary source." }, { "number": 382, "key": "you2026embodiedswe", "title": "EmbodiedSWE: Coding Agents for Long Horizon Dexterous Robotics", "url": "https://arxiv.org/abs/2609.27308", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "embodiedswe", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 383, "key": "liu2026navprobe", "title": "NavProbe: Evidence-Grounded Reasoning with Active Memory Retrieval for Zero-Shot Navigation", "url": "https://arxiv.org/abs/2609.27526", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Evidence retrieval evaluated on R2R/RxR/ObjectNav navigation only.", "decisionSource": "https://arxiv.org/abs/2609.27526" }, { "number": 384, "key": "li2026talk2escape", "title": "Talk2Escape: Conversational Grounding for Vision-and-Language Navigation", "url": "https://arxiv.org/abs/2609.28296", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Dialogue intervention for navigation only.", "decisionSource": "https://arxiv.org/abs/2609.28296" }, { "number": 385, "key": "zhang2026cma", "title": "Memory That Changes Action Is Not Memory That Guides It: Counterfactual Auditing of History-Conditioned Robot Policies", "url": "https://arxiv.org/abs/2609.27247", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 386, "key": "wang2026tpflow", "title": "Task-Prototype Guided Flow Matching for Few-Shot Generalization in Vision-Language Robot Manipulation", "url": "https://arxiv.org/abs/2609.27780", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "tp-flow", "note": "Verified manipulation policy in the original primary source." }, { "number": 387, "key": "yi2026arms", "title": "Watch, Recall, Act: Always-On Robots in Concurrent Embodied Streams", "url": "https://arxiv.org/abs/2609.28429", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "arms", "note": "Verified manipulation policy in the original primary source." }, { "number": 388, "key": "zhang2026waa", "title": "World Action Agent: Harnessing VLMs for Robot Manipulation via World Action Rehearsal", "url": "https://arxiv.org/abs/2609.29964", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "world-action-agent", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 389, "key": "knowin2026glow", "title": "GLOW: A Generative Learning Framework for General-Purpose Embodied Intelligence", "url": "https://knowinai.com/tech.html", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "knowin-glow", "note": "Verified manipulation policy in the original primary source." }, { "number": 390, "key": "arxiv260930249", "title": "RAPID: Robot Agentic Programming from Demonstrations", "url": "https://arxiv.org/abs/2609.30249", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "rapid", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 391, "key": "arxiv260930134", "title": "Training-free Behavior Cloning", "url": "https://arxiv.org/abs/2609.30134", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "behavior-predictive-control", "note": "Verified manipulation policy in the original primary source." }, { "number": 392, "key": "arxiv260920646", "title": "TraceFlow: Guiding Frozen Flow-Matching Robot Policies with Success and Failure Traces", "url": "https://arxiv.org/abs/2609.20646", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "traceflow", "note": "Verified manipulation policy in the original primary source." }, { "number": 393, "key": "arxiv260930092", "title": "Self-Adaptive VLA for Robust Robot Deployment", "url": "https://arxiv.org/abs/2609.30092", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "self-adaptive-vla", "note": "Verified manipulation policy in the original primary source." }, { "number": 394, "key": "arxiv260804933", "title": "Mimir: A Neuro-Symbolic Memory System with Dynamic Grounding for Embodied Agents in Interactive Environments", "url": "https://arxiv.org/abs/2608.04933", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "mimir", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 395, "key": "arxiv260928798", "title": "OCC4M: Object-Centric 4D Memory for Spatiotemporal Reasoning in Long-Horizon Manipulation", "url": "https://arxiv.org/abs/2609.28798", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "occ4m", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 396, "key": "arxiv260926408", "title": "SparseNav: Instruction-conditioned Sparse Semantic Perception for Training-Free Vision-Language Navigation", "url": "https://arxiv.org/abs/2609.26408", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Instruction-conditioned sparse semantic navigation only.", "decisionSource": "https://arxiv.org/abs/2609.26408" }, { "number": 397, "key": "arxiv260920820", "title": "Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision", "url": "https://arxiv.org/abs/2609.20820", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "workspace-models", "note": "Verified manipulation policy in the original primary source." }, { "number": 398, "key": "arxiv260929166", "title": "HarnessPAI: An Evolving Harness for Physical AI", "url": "https://arxiv.org/abs/2609.29166", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "harnesspai", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 399, "key": "arxiv260925636", "title": "RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents", "url": "https://arxiv.org/abs/2609.25636", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 400, "key": "arxiv260928952", "title": "RoboRecover: Benchmarking Robot Policy Recovery under Execution Deviations", "url": "https://arxiv.org/abs/2609.28952", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 401, "key": "arxiv260911561", "title": "Memory as Plans: World-Action Modeling with Memory-Grounded Planning", "url": "https://arxiv.org/abs/2609.11561", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "map-wam", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 402, "key": "arxiv260918016", "title": "Causal-History Test-Time Scaling for Failure Recovery in Autoregressive World-Action Models", "url": "https://arxiv.org/abs/2609.18016", "role": "world", "methodFamily": "world", "status": "indexed", "workId": "fare", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 403, "key": "arxiv260911308", "title": "2AM: Grounding Agent-Side Memory as Guidance for Steerable Action Models in Long-Horizon Manipulation", "url": "https://arxiv.org/abs/2609.11308", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "2am", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 404, "key": "arxiv260930828", "title": "HIRE: History-Conditioned Interaction Reasoning and High-Rate Execution for Visually Aliased Precision Manipulation", "url": "https://arxiv.org/abs/2609.30828", "role": "policy", "methodFamily": "policy", "status": "indexed", "workId": "hire", "note": "Verified manipulation policy in the original primary source." }, { "number": 405, "key": "arxiv260930404", "title": "POIL: Point-based One-Shot Imitation Learning with Stable Dynamical Systems", "url": "https://arxiv.org/abs/2609.30404", "role": "geometry", "methodFamily": "geometry", "status": "indexed", "workId": "poil", "note": "Original primary source verifies a manipulation policy, planner or controller and a concrete robot-manipulation evaluation." }, { "number": 406, "key": "arxiv260930428", "title": "Actively Resolving Contextual Uncertainty for Underspecified Tasks in Natural Language", "url": "https://arxiv.org/abs/2609.30428", "role": "agent", "methodFamily": "agent", "status": "outside-scope", "note": "Spot viewpoint/locomotion exploration resolves task ambiguity; no object-manipulation action evaluation is established.", "decisionSource": "https://arxiv.org/abs/2609.30428" }, { "number": 407, "key": "arxiv260930233", "title": "Coding Agents for Generalized Task and Motion Planning Problems", "url": "https://arxiv.org/abs/2609.30233", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "coding-agents-tamp", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 408, "key": "arxiv260931337", "title": "Representation-Guided Generation and Integration of Executable Programs for Robot Manipulation", "url": "https://arxiv.org/abs/2609.31337", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "rivet", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 409, "key": "arxiv260930594", "title": "HuGo: LLMs as Whole-Body Policy Code Designers for Humanoid Loco-Manipulation", "url": "https://arxiv.org/abs/2609.30594", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "hugo", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 410, "key": "arxiv260931112", "title": "DualManip: Agentic Dynamic Manipulation via Dual-Path Semantic Reasoning and Geometric Adaptation", "url": "https://arxiv.org/abs/2609.31112", "role": "agent", "methodFamily": "agent", "status": "indexed", "workId": "dualmanip", "note": "Linked to a canonical atlas record. Technical fields are supported by that work's own primary sources." }, { "number": 411, "key": "arxiv260930889", "title": "PHASE: Compliance-Enabled Tactile Phase Retrieval for Few-Shot Insertion Learning", "url": "https://arxiv.org/abs/2609.30889", "role": "training", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." }, { "number": 412, "key": "arxiv260930608", "title": "Audit Before You Commit: Locating Belief Failures in Active Identification for One-Shot Manipulation", "url": "https://arxiv.org/abs/2609.30608", "role": "evaluation", "status": "candidate", "note": "Cited manipulation, evaluation or training resource. A full primary-source atlas record is not established by this citation mapping alone." } ] }, { "id": "tactile-guided-survey-references", "workId": "tactile-guided-survey", "label": "Tactile-Guided Robot Learning: From Representation Learning to Foundation Models", "url": "https://arxiv.org/abs/2610.20134", "referencesUrl": "https://arxiv.org/html/2610.20134#bib", "corpusUrl": "https://arxiv.org/html/2610.20134", "snapshot": "Original bibliography, manual dispositions and exact original-source late-batch reconciliation, 2026-10-17", "scope": "Complete original bibliography with explicit identity matches and individually reviewed title-level dispositions. Indexed means a reviewed canonical record exists; background and adjacent resources are not counted as method reviews. Candidate means original-source review is still pending. No fuzzy identity matching or containing-survey fallback matching is used.", "entries": [ { "number": 1, "key": "bib.bib175", "title": "Gpt-4 technical report", "url": "https://arxiv.org/abs/2303.08774", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Achiam et al. (2023)", "bibliographyText": "Achiam et al. (2023) J. Achiam, S. Adler, S. Agarwal, L. Ahmad, I. Akkaya, F. L. Aleman, D. Almeida, J. Altenschmidt, S. Altman, S. Anadkat, et al. Gpt-4 technical report . arXiv preprint arXiv:2303.08774 . Cited by: §IV .", "originalUrls": [] }, { "number": 2, "key": "bib.bib167", "title": "A modularized design approach for GelSight family of vision-based tactile sensors", "url": "https://arxiv.org/html/2610.20134#bib.bib167", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "Agarwal et al. (2025)", "bibliographyText": "Agarwal et al. (2025) A. Agarwal, M. A. Mirzaee, X. Sun, and W. Yuan A modularized design approach for GelSight family of vision-based tactile sensors . The International Journal of Robotics Research . Cited by: §II-D .", "originalUrls": [] }, { "number": 3, "key": "bib.bib23", "title": "Robopack: learning tactile-informed dynamics models for dense packing", "url": "https://arxiv.org/abs/2407.01418", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Ai et al. (2024)", "bibliographyText": "Ai et al. (2024) B. Ai, S. Tian, H. Shi, Y. Wang, C. Tan, Y. Li, and J. Wu Robopack: learning tactile-informed dynamics models for dense packing . arXiv preprint arXiv:2407.01418 . Cited by: §V , §V , §VI-A , §VII-C .", "originalUrls": [], "workId": "robopack" }, { "number": 4, "key": "bib.bib183", "title": "Tacsl: a library for visuotactile sensor simulation and learning", "url": "https://arxiv.org/html/2610.20134#bib.bib183", "role": "simulator", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Akinola et al. (2025)", "bibliographyText": "Akinola et al. (2025) I. Akinola, J. Xu, J. Carius, D. Fox, and Y. Narang Tacsl: a library for visuotactile sensor simulation and learning . IEEE Transactions on Robotics 41 , pp. 2645–2661 . Cited by: §VI-C .", "originalUrls": [], "workId": "tacsl" }, { "number": 5, "key": "bib.bib1", "title": "HapTile: a haptic-informed vision-tactile-language-action dataset for contact-rich imitation learning", "url": "https://arxiv.org/abs/2606.04825", "role": "reference", "status": "candidate", "note": "In-scope tactile dataset, benchmark, simulation, or world-model candidate. Original-source task scope and model-versus-policy role need review; no canonical identity or public release is inferred from this citation alone.", "sourceLabel": "Alian et al. (2026)", "bibliographyText": "Alian et al. (2026) A. Alian, Y. Zhao, S. Gu, X. Zhang, Z. Chen, C. E. Mower, H. Bou-Ammar, and S. Luo HapTile: a haptic-informed vision-tactile-language-action dataset for contact-rich imitation learning . arXiv preprint arXiv:2606.04825 . External Links: 2606.04825 , Document Cited by: §VII-D .", "originalUrls": [ "https://dx.doi.org/10.48550/arXiv.2606.04825" ] }, { "number": 6, "key": "bib.bib194", "title": "Self-supervised learning from images with a joint-embedding predictive architecture", "url": "https://arxiv.org/html/2610.20134#bib.bib194", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Assran et al. (2023)", "bibliographyText": "Assran et al. (2023) M. Assran, Q. Duval, I. Misra, P. Bojanowski, P. Vincent, M. Rabbat, Y. LeCun, and N. Ballas Self-supervised learning from images with a joint-embedding predictive architecture . In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 15619–15629 . Cited by: §II-A .", "originalUrls": [] }, { "number": 7, "key": "bib.bib154", "title": "Visuotactile-based learning for insertion with compliant hands", "url": "https://arxiv.org/html/2610.20134#bib.bib154", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Azulay et al. (2025)", "bibliographyText": "Azulay et al. (2025) O. Azulay, D. M. Ramesh, N. Curtis, and A. Sintov Visuotactile-based learning for insertion with compliant hands . IEEE Robotics and Automation Letters 10 ( 4 ), pp. 4053–4060 . Cited by: §VI-A .", "originalUrls": [], "workId": "compliant-hand-visuotactile-insertion" }, { "number": 8, "key": "bib.bib143", "title": "Qwen3-vl technical report", "url": "https://arxiv.org/abs/2511.21631", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Bai et al. (2025)", "bibliographyText": "Bai et al. (2025) S. Bai, Y. Cai, R. Chen, K. Chen, X. Chen, Z. Cheng, L. Deng, W. Ding, C. Gao, C. Ge, et al. Qwen3-vl technical report . arXiv preprint arXiv:2511.21631 . Cited by: §IV .", "originalUrls": [] }, { "number": 9, "key": "bib.bib179", "title": "An overview of systems-theoretic guarantees in data-driven model predictive control", "url": "https://arxiv.org/html/2610.20134#bib.bib179", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Berberich and Allgöwer (2025)", "bibliographyText": "Berberich and Allgöwer (2025) J. Berberich and F. Allgöwer An overview of systems-theoretic guarantees in data-driven model predictive control . Annual Review of Control, Robotics, and Autonomous Systems 8 ( 1 ), pp. 77–100 . Cited by: §V .", "originalUrls": [] }, { "number": 10, "key": "bib.bib178", "title": "Data-driven model predictive control with stability and robustness guarantees", "url": "https://arxiv.org/html/2610.20134#bib.bib178", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Berberich et al. (2020)", "bibliographyText": "Berberich et al. (2020) J. Berberich, J. Köhler, M. A. Müller, and F. Allgöwer Data-driven model predictive control with stability and robustness guarantees . IEEE transactions on automatic control 66 ( 4 ), pp. 1702–1717 . Cited by: §V .", "originalUrls": [] }, { "number": 11, "key": "bib.bib122", "title": "ReSkin: versatile, replaceable, lasting tactile skins", "url": "https://openreview.net/forum?id=87_OJU4sw3V", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "Bhirangi et al. (2021)", "bibliographyText": "Bhirangi et al. (2021) R. Bhirangi, T. Hellebrekers, C. Majidi, and A. Gupta ReSkin: versatile, replaceable, lasting tactile skins . In 5th Annual Conference on Robot Learning , External Links: Link Cited by: §III-B , §VII-D .", "originalUrls": [ "https://openreview.net/forum?id=87_OJU4sw3V" ] }, { "number": 12, "key": "bib.bib155", "title": "Anyskin: plug-and-play skin sensing for robotic touch", "url": "https://arxiv.org/html/2610.20134#bib.bib155", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "Bhirangi et al. (2025)", "bibliographyText": "Bhirangi et al. (2025) R. Bhirangi, V. Pattabiraman, E. Erciyes, Y. Cao, T. Hellebrekers, and L. Pinto Anyskin: plug-and-play skin sensing for robotic touch . In 2025 IEEE International Conference on Robotics and Automation (ICRA) , pp. 16563–16570 . Cited by: §VI-A , §VII-D .", "originalUrls": [] }, { "number": 13, "key": "bib.bib50", "title": "Vla-touch: enhancing vision-language-action model with dual-level tactile feedback", "url": "https://arxiv.org/html/2610.20134#bib.bib50", "role": "policy", "status": "indexed", "note": "Manually verified original-source alias: Survey uses singular model and a published-year variation; original arXiv title and the same Bi/Ma/Hao/Shou/Soh authors verify VLA-Touch identity.", "sourceLabel": "Bi et al. (2026)", "bibliographyText": "Bi et al. (2026) J. Bi, K. Y. Ma, C. Hao, M. S. Zheng, and H. Soh Vla-touch: enhancing vision-language-action model with dual-level tactile feedback . IEEE Robotics and Automation Letters . Cited by: TABLE II , §IV , §IV .", "originalUrls": [ "https://arxiv.org/abs/2507.17294" ], "workId": "vla-touch" }, { "number": 14, "key": "bib.bib72", "title": "Trends and challenges in robot manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib72", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Billard and Kragic (2019)", "bibliographyText": "Billard and Kragic (2019) A. Billard and D. Kragic Trends and challenges in robot manipulation . Science 364 ( 6446 ), pp. eaat8414 . Cited by: §I .", "originalUrls": [] }, { "number": 15, "key": "bib.bib177", "title": "Mixture density networks", "url": "https://arxiv.org/html/2610.20134#bib.bib177", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Bishop (1994)", "bibliographyText": "Bishop (1994) C. M. Bishop Mixture density networks . Aston University . Cited by: §V .", "originalUrls": [] }, { "number": 16, "key": "bib.bib84", "title": "p ​ i ​ _ ​ 0 pi\\_0 : A vision-language-action flow model for general robot control", "url": "https://arxiv.org/abs/2410.24164", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Black et al. (2024)", "bibliographyText": "Black et al. (2024) K. Black, N. Brown, D. Driess, A. Esmail, M. Equi, C. Finn, N. Fusai, L. Groom, K. Hausman, B. Ichter, et al. p ​ i ​ _ ​ 0 pi\\_0 : A vision-language-action flow model for general robot control . arXiv preprint arXiv:2410.24164 . Cited by: §I , §IV , §IV .", "originalUrls": [], "workId": "pi0" }, { "number": 17, "key": "bib.bib173", "title": "An introduction to vision-language modeling", "url": "https://arxiv.org/abs/2405.17247", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Bordes et al. (2024)", "bibliographyText": "Bordes et al. (2024) F. Bordes, R. Y. Pang, A. Ajay, A. C. Li, A. Bardes, S. Petryk, O. Mañas, Z. Lin, A. Mahmoud, B. Jayaraman, et al. An introduction to vision-language modeling . arXiv preprint arXiv:2405.17247 . Cited by: §IV .", "originalUrls": [] }, { "number": 18, "key": "bib.bib156", "title": "Texterity: tactile extrinsic dexterity", "url": "https://arxiv.org/html/2610.20134#bib.bib156", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Bronars et al. (2024)", "bibliographyText": "Bronars et al. (2024) A. Bronars, S. Kim, P. Patre, and A. Rodriguez Texterity: tactile extrinsic dexterity . In 2024 IEEE International Conference on Robotics and Automation (ICRA) , pp. 7976–7983 . Cited by: §VI-A .", "originalUrls": [] }, { "number": 19, "key": "bib.bib138", "title": "Learn from incomplete tactile data: tactile representation learning with masked autoencoders", "url": "https://dx.doi.org/10.1109/IROS55552.2023.10341788", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "Cao et al. (2023)", "bibliographyText": "Cao et al. (2023) G. Cao, J. Jiang, D. Bollegala, and S. Luo Learn from incomplete tactile data: tactile representation learning with masked autoencoders . In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Vol. , pp. 10800–10805 . External Links: Document Cited by: §II-A .", "originalUrls": [ "https://dx.doi.org/10.1109/IROS55552.2023.10341788" ] }, { "number": 20, "key": "bib.bib192", "title": "Tactile-based multimodal fusion in embodied intelligence: a survey of vision, language, and contact-driven paradigms", "url": "https://arxiv.org/abs/2605.17336", "role": "survey", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Cao et al. (2026)", "bibliographyText": "Cao et al. (2026) Z. Cao, D. Tian, R. Guan, Y. Mu, X. Sun, S. Liang, D. Liu, T. Huang, Y. Yue, H. Ding, B. Fang, A. Zhou, Q. Han, and H. Xiong Tactile-based multimodal fusion in embodied intelligence: a survey of vision, language, and contact-driven paradigms . arXiv preprint arXiv:2605.17336 . Cited by: §II .", "originalUrls": [], "workId": "tactile-fusion-survey" }, { "number": 21, "key": "bib.bib21", "title": "A proxy-tactile reactive control for robots moving in clutter", "url": "https://arxiv.org/html/2610.20134#bib.bib21", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Caroleo et al. (2024)", "bibliographyText": "Caroleo et al. (2024) G. Caroleo, F. Giovinazzo, A. Albini, F. Grella, G. Cannata, and P. Maiolino A proxy-tactile reactive control for robots moving in clutter . In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pp. 733–739 . Cited by: §V , §V .", "originalUrls": [] }, { "number": 22, "key": "bib.bib193", "title": "Emerging properties in self-supervised vision transformers", "url": "https://arxiv.org/html/2610.20134#bib.bib193", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Caron et al. (2021)", "bibliographyText": "Caron et al. (2021) M. Caron, H. Touvron, I. Misra, H. Jégou, J. Mairal, P. Bojanowski, and A. Joulin Emerging properties in self-supervised vision transformers . In 2021 IEEE/CVF international conference on computer vision (ICCV) , pp. 9630–9640 . Cited by: §II-A , §II-A .", "originalUrls": [] }, { "number": 23, "key": "bib.bib185", "title": "Univtac: a unified simulation platform for visuo-tactile manipulation data generation, learning, and benchmarking", "url": "https://arxiv.org/abs/2602.10093", "role": "benchmark", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Chen et al. (2026a)", "bibliographyText": "Chen et al. (2026a) B. Chen, W. Wan, T. Chen, X. Guo, C. Xu, Y. Qi, H. Zhang, L. Wu, T. Xu, Z. Li, et al. Univtac: a unified simulation platform for visuo-tactile manipulation data generation, learning, and benchmarking . arXiv preprint arXiv:2602.10093 . Cited by: §VI-C .", "originalUrls": [], "workId": "univtac" }, { "number": 24, "key": "bib.bib141", "title": "Don’t start from scratch: behavioral refinement via interpolant-based policy diffusion", "url": "https://arxiv.org/abs/2402.16075", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Chen et al. (2024)", "bibliographyText": "Chen et al. (2024) K. Chen, E. Lim, K. Lin, Y. Chen, and H. Soh Don’t start from scratch: behavioral refinement via interpolant-based policy diffusion . arXiv preprint arXiv:2402.16075 . Cited by: §IV .", "originalUrls": [] }, { "number": 25, "key": "bib.bib14", "title": "ImplicitRDP: an end-to-end visual-force diffusion policy with structural slow-fast learning", "url": "https://arxiv.org/abs/2512.10946", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Chen et al. (2025)", "bibliographyText": "Chen et al. (2025) W. Chen, H. Xue, Y. Wang, F. Zhou, J. Lv, Y. Jin, S. Tang, C. Wen, and C. Lu ImplicitRDP: an end-to-end visual-force diffusion policy with structural slow-fast learning . arXiv preprint arXiv:2512.10946 . Cited by: §V , §V .", "originalUrls": [], "workId": "implicitrdp" }, { "number": 26, "key": "bib.bib181", "title": "UniForce: a unified latent force model for robot manipulation with diverse tactile sensors", "url": "https://arxiv.org/abs/2602.01153", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Chen et al. (2026b)", "bibliographyText": "Chen et al. (2026b) Z. Chen, F. Ni, K. Luo, Z. Wu, X. Zhang, E. Spyrakos-Papastavridis, L. Jamone, N. F. Lepora, J. Deng, and S. Luo UniForce: a unified latent force model for robot manipulation with diverse tactile sensors . arXiv preprint arXiv:2602.01153 . Cited by: §VI-B .", "originalUrls": [], "workId": "uniforce" }, { "number": 27, "key": "bib.bib59", "title": "Training tactile sensors to learn force sensing from each other", "url": "https://arxiv.org/html/2610.20134#bib.bib59", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "Chen et al. (2026c)", "bibliographyText": "Chen et al. (2026c) Z. Chen, N. Ou, X. Zhang, Z. Wu, Y. Zhao, Y. Wang, E. S. Papastavridis, N. Lepora, L. Jamone, J. Deng, et al. Training tactile sensors to learn force sensing from each other . Nature Communications 17 ( 1 ), pp. 2101 . Cited by: §II-D .", "originalUrls": [] }, { "number": 28, "key": "bib.bib106", "title": "Touch100k: a large-scale touch-language-vision dataset for touch-centric multimodal representation", "url": "https://arxiv.org/html/2610.20134#bib.bib106", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Cheng et al. (2025)", "bibliographyText": "Cheng et al. (2025) N. Cheng, J. Xu, C. Guan, J. Gao, W. Wang, Y. Li, F. Meng, J. Zhou, B. Fang, and W. Han Touch100k: a large-scale touch-language-vision dataset for touch-centric multimodal representation . Information Fusion 124 , pp. 103305 . Cited by: §I .", "originalUrls": [], "workId": "tlv-link" }, { "number": 29, "key": "bib.bib48", "title": "OmniVTLA: vision-tactile-language-action models with semantic-aligned tactile sensing", "url": "https://arxiv.org/html/2610.20134#bib.bib48", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Cheng et al. (2026)", "bibliographyText": "Cheng et al. (2026) Z. Cheng, Y. Zhang, A. Tang, K. Wang, W. Zhang, H. Li, H. Zhang, and L. Song OmniVTLA: vision-tactile-language-action models with semantic-aligned tactile sensing . IEEE Robotics and Automation Letters . Cited by: §I , TABLE II , §IV , §IV , §IV , §IV .", "originalUrls": [], "workId": "omnivtla" }, { "number": 30, "key": "bib.bib78", "title": "Diffusion policy: visuomotor policy learning via action diffusion", "url": "https://arxiv.org/html/2610.20134#bib.bib78", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Chi et al. (2025)", "bibliographyText": "Chi et al. (2025) C. Chi, Z. Xu, S. Feng, E. Cousineau, Y. Du, B. Burchfiel, R. Tedrake, and S. Song Diffusion policy: visuomotor policy learning via action diffusion . The International Journal of Robotics Research 44 ( 10-11 ), pp. 1684–1704 . Cited by: §I , §III-C .", "originalUrls": [], "workId": "dp" }, { "number": 31, "key": "bib.bib92", "title": "Current landscape of the robotic tactile array sensors and algorithm-based performance enhancement", "url": "https://arxiv.org/html/2610.20134#bib.bib92", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Cho et al. (2024)", "bibliographyText": "Cho et al. (2024) W. Cho, Y. Park, H. Kim, H. Yang, and U. Jeong Current landscape of the robotic tactile array sensors and algorithm-based performance enhancement . Advanced Engineering Materials 26 ( 11 ), pp. 2302214 . Cited by: §I .", "originalUrls": [] }, { "number": 32, "key": "bib.bib40", "title": "Tactile sim-to-real policy transfer via real-to-sim image translation", "url": "https://arxiv.org/html/2610.20134#bib.bib40", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Church et al. (2022)", "bibliographyText": "Church et al. (2022) A. Church, J. Lloyd, N. F. Lepora, et al. Tactile sim-to-real policy transfer via real-to-sim image translation . In Conference on Robot Learning , pp. 1645–1654 . Cited by: §III-B , §III-B , TABLE I , §VI-C .", "originalUrls": [] }, { "number": 33, "key": "bib.bib83", "title": "Gemini 2.5: pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities", "url": "https://arxiv.org/abs/2507.06261", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Comanici et al. (2025)", "bibliographyText": "Comanici et al. (2025) G. Comanici, E. Bieber, M. Schaekermann, I. Pasupat, N. Sachdeva, I. Dhillon, M. Blistein, O. Ram, D. Zhang, E. Rosen, et al. Gemini 2.5: pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities . arXiv preprint arXiv:2507.06261 . Cited by: §I , §IV .", "originalUrls": [] }, { "number": 34, "key": "bib.bib73", "title": "Toward next-generation learned robot manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib73", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Cui and Trinkle (2021)", "bibliographyText": "Cui and Trinkle (2021) J. Cui and J. Trinkle Toward next-generation learned robot manipulation . Science robotics 6 ( 54 ), pp. eabd9461 . Cited by: §I .", "originalUrls": [] }, { "number": 35, "key": "bib.bib10", "title": "End-to-end dexterous arm-hand vla policies via shared autonomy: vr teleoperation augmented by autonomous hand vla policy for efficient data collection", "url": "https://arxiv.org/abs/2511.00139", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Cui et al. (2025)", "bibliographyText": "Cui et al. (2025) Y. Cui, Y. Zhang, L. Tao, Y. Li, X. Yi, and Z. Li End-to-end dexterous arm-hand vla policies via shared autonomy: vr teleoperation augmented by autonomous hand vla policy for efficient data collection . arXiv preprint arXiv:2511.00139 . Cited by: §III-A .", "originalUrls": [] }, { "number": 36, "key": "bib.bib107", "title": "Multimodal visual-tactile representation learning through self-supervised contrastive pre-training", "url": "https://arxiv.org/html/2610.20134#bib.bib107", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Dave et al. (2024)", "bibliographyText": "Dave et al. (2024) V. Dave, F. Lygerakis, and E. Rueckert Multimodal visual-tactile representation learning through self-supervised contrastive pre-training . In 2024 IEEE International Conference on Robotics and Automation (ICRA) , pp. 8013–8020 . Cited by: §I , §II-A .", "originalUrls": [], "workId": "mvitac" }, { "number": 37, "key": "bib.bib159", "title": "A survey on policy search for robotics", "url": "https://arxiv.org/html/2610.20134#bib.bib159", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Deisenroth et al. (2013)", "bibliographyText": "Deisenroth et al. (2013) M. P. Deisenroth, G. Neumann, and J. Peters A survey on policy search for robotics . Foundations and Trends® in Robotics 2 ( 1-2 ), pp. 1–142 . Cited by: §III-B .", "originalUrls": [] }, { "number": 38, "key": "bib.bib118", "title": "An image is worth 16x16 words: transformers for image recognition at scale", "url": "https://arxiv.org/abs/2010.11929", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Dosovitskiy et al. (2020)", "bibliographyText": "Dosovitskiy et al. (2020) A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al. An image is worth 16x16 words: transformers for image recognition at scale . arXiv preprint arXiv:2010.11929 . Cited by: §IV .", "originalUrls": [] }, { "number": 39, "key": "bib.bib164", "title": "Humans integrate visual and haptic information in a statistically optimal fashion", "url": "https://arxiv.org/html/2610.20134#bib.bib164", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Ernst and Banks (2002)", "bibliographyText": "Ernst and Banks (2002) M. O. Ernst and M. S. Banks Humans integrate visual and haptic information in a statistically optimal fashion . Nature 415 ( 6870 ), pp. 429–433 . Cited by: §II-B .", "originalUrls": [] }, { "number": 40, "key": "bib.bib96", "title": "Force measurement technology of vision-based tactile sensor", "url": "https://arxiv.org/html/2610.20134#bib.bib96", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Fang et al. (2025)", "bibliographyText": "Fang et al. (2025) B. Fang, J. Zhao, N. Liu, Y. Sun, S. Zhang, F. Sun, J. Shan, and Y. Yang Force measurement technology of vision-based tactile sensor . Advanced Intelligent Systems 7 ( 1 ), pp. 2400290 . Cited by: §I .", "originalUrls": [] }, { "number": 41, "key": "bib.bib55", "title": "Anytouch: learning unified static-dynamic representation across multiple visuo-tactile sensors", "url": "https://arxiv.org/abs/2502.12191", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Feng et al. (2025)", "bibliographyText": "Feng et al. (2025) R. Feng, J. Hu, W. Xia, T. Gao, A. Shen, Y. Sun, B. Fang, and D. Hu Anytouch: learning unified static-dynamic representation across multiple visuo-tactile sensors . arXiv preprint arXiv:2502.12191 . Cited by: §II-D , §II-D .", "originalUrls": [], "workId": "anytouch" }, { "number": 42, "key": "bib.bib56", "title": "Anytouch 2: general optical tactile representation learning for dynamic tactile perception", "url": "https://arxiv.org/abs/2602.09617", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Feng et al. (2026a)", "bibliographyText": "Feng et al. (2026a) R. Feng, Y. Zhou, S. Mei, D. Zhou, P. Wang, S. Cui, B. Fang, G. Yao, and D. Hu Anytouch 2: general optical tactile representation learning for dynamic tactile perception . arXiv preprint arXiv:2602.09617 . Cited by: §I , §II-D .", "originalUrls": [], "workId": "anytouch2" }, { "number": 43, "key": "bib.bib81", "title": "Multi-agent embodied ai: advances and future directions", "url": "https://arxiv.org/html/2610.20134#bib.bib81", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Feng et al. (2026b)", "bibliographyText": "Feng et al. (2026b) Z. Feng, R. Xue, L. Yuan, Y. Yu, N. Ding, M. Liu, B. Gao, J. Sun, X. Zheng, and G. Wang Multi-agent embodied ai: advances and future directions . Science China Information Sciences 69 ( 5 ), pp. 151202 . Cited by: §I .", "originalUrls": [] }, { "number": 44, "key": "bib.bib66", "title": "Text2Touch: tactile in-hand manipulation with llm-designed reward functions", "url": "https://arxiv.org/html/2610.20134#bib.bib66", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Field et al. (2025)", "bibliographyText": "Field et al. (2025) H. Field, M. Yang, Y. Lin, E. Psomopoulou, D. A. Barton, and N. F. Lepora Text2Touch: tactile in-hand manipulation with llm-designed reward functions . In 9th Annual Conference on Robot Learning , Cited by: §III-B , §III-B , §III-B , §III-B , TABLE I , §VI-C , §VI-C .", "originalUrls": [], "workId": "text2touch" }, { "number": 45, "key": "bib.bib108", "title": "A touch, vision, and language dataset for multimodal alignment", "url": "https://openreview.net/forum?id=tFEOOH9eH0", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Fu et al. (2024a)", "bibliographyText": "Fu et al. (2024a) L. Fu, G. Datta, H. Huang, W. C. Panitch, J. Drake, J. Ortiz, M. Mukadam, M. Lambeta, R. Calandra, and K. Goldberg A touch, vision, and language dataset for multimodal alignment . In Forty-first International Conference on Machine Learning , External Links: Link Cited by: §I .", "originalUrls": [ "https://openreview.net/forum?id=tFEOOH9eH0" ], "workId": "tvl" }, { "number": 46, "key": "bib.bib191", "title": "A touch, vision, and language dataset for multimodal alignment", "url": "https://arxiv.org/abs/2402.13232", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Fu et al. (2024b)", "bibliographyText": "Fu et al. (2024b) L. Fu, G. Datta, H. Huang, W. C. Panitch, J. Drake, J. Ortiz, M. Mukadam, M. Lambeta, R. Calandra, and K. Goldberg A touch, vision, and language dataset for multimodal alignment . arXiv preprint arXiv:2402.13232 . Cited by: §II-C .", "originalUrls": [], "workId": "tvl" }, { "number": 47, "key": "bib.bib109", "title": "On the importance of tactile sensing for imitation learning: a case study on robotic match lighting", "url": "https://dx.doi.org/10.1109/LRA.2026.3677716", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Funk et al. (2026)", "bibliographyText": "Funk et al. (2026) N. Funk, C. Chen, T. Schneider, G. Chalvatzaki, R. Calandra, and J. Peters On the importance of tactile sensing for imitation learning: a case study on robotic match lighting . IEEE Robotics and Automation Letters 11 ( 5 ), pp. 6218–6225 . External Links: Document Cited by: §I .", "originalUrls": [ "https://dx.doi.org/10.1109/LRA.2026.3677716" ] }, { "number": 48, "key": "bib.bib133", "title": "Retrieval-augmented generation for large language models: a survey", "url": "https://arxiv.org/abs/2312.10997", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Gao et al. (2023)", "bibliographyText": "Gao et al. (2023) Y. Gao, Y. Xiong, X. Gao, K. Jia, J. Pan, Y. Bi, Y. Dai, J. Sun, M. Wang, and H. Wang Retrieval-augmented generation for large language models: a survey . arXiv preprint arXiv:2312.10997 . Cited by: §IV .", "originalUrls": [] }, { "number": 49, "key": "bib.bib166", "title": "VITaL pretraining: visuo-tactile pretraining for tactile and non-tactile manipulation policies", "url": "https://arxiv.org/abs/2403.11898", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "George et al. (2024)", "bibliographyText": "George et al. (2024) A. George, S. Gano, P. Katragadda, and A. B. Farimani VITaL pretraining: visuo-tactile pretraining for tactile and non-tactile manipulation policies . arXiv preprint arXiv:2403.11898 . Cited by: §II-A , §II-C , §II-C , TABLE III .", "originalUrls": [], "workId": "vital-pretraining" }, { "number": 50, "key": "bib.bib168", "title": "Imagebind: one embedding space to bind them all", "url": "https://arxiv.org/html/2610.20134#bib.bib168", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Girdhar et al. (2023)", "bibliographyText": "Girdhar et al. (2023) R. Girdhar, A. El-Nouby, Z. Liu, M. Singh, K. V. Alwala, A. Joulin, and I. Misra Imagebind: one embedding space to bind them all . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pp. 15180–15190 . Cited by: §II-C .", "originalUrls": [] }, { "number": 51, "key": "bib.bib176", "title": "The llama 3 herd of models", "url": "https://arxiv.org/abs/2407.21783", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Grattafiori et al. (2024)", "bibliographyText": "Grattafiori et al. (2024) A. Grattafiori, A. Dubey, A. Jauhri, A. Pandey, A. Kadian, A. Al-Dahle, A. Letman, A. Mathur, A. Schelten, A. Vaughan, et al. The llama 3 herd of models . arXiv preprint arXiv:2407.21783 . Cited by: §IV .", "originalUrls": [] }, { "number": 52, "key": "bib.bib117", "title": "Bootstrap your own latent-a new approach to self-supervised learning", "url": "https://arxiv.org/html/2610.20134#bib.bib117", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Grill et al. (2020)", "bibliographyText": "Grill et al. (2020) J. Grill, F. Strub, F. Altché, C. Tallec, P. Richemond, E. Buchatskaya, C. Doersch, B. Avila Pires, Z. Guo, M. Gheshlaghi Azar, et al. Bootstrap your own latent-a new approach to self-supervised learning . Advances in neural information processing systems 33 , pp. 21271–21284 . Cited by: §II-A .", "originalUrls": [] }, { "number": 53, "key": "bib.bib162", "title": "Learning diffusion policy from primitive skills for robot manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib162", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Gu et al. (2026)", "bibliographyText": "Gu et al. (2026) Z. Gu, M. Yang, D. Zou, and D. Xu Learning diffusion policy from primitive skills for robot manipulation . In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 40 , pp. 18262–18270 . Cited by: §III-C .", "originalUrls": [] }, { "number": 54, "key": "bib.bib146", "title": "A survey on self-supervised learning: algorithms, applications, and future trends", "url": "https://arxiv.org/html/2610.20134#bib.bib146", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Gui et al. (2024)", "bibliographyText": "Gui et al. (2024) J. Gui, T. Chen, J. Zhang, Q. Cao, Z. Sun, H. Luo, and D. Tao A survey on self-supervised learning: algorithms, applications, and future trends . IEEE Transactions on Pattern Analysis and Machine Intelligence 46 ( 12 ), pp. 9052–9071 . Cited by: §II-A .", "originalUrls": [] }, { "number": 55, "key": "bib.bib61", "title": "Sensor-invariant tactile representation", "url": "https://arxiv.org/abs/2502.19638", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Gupta et al. (2025)", "bibliographyText": "Gupta et al. (2025) H. Gupta, Y. Mo, S. Jin, and W. Yuan Sensor-invariant tactile representation . arXiv preprint arXiv:2502.19638 . Cited by: §II-D , §II-D , §VI-B , §VII-D .", "originalUrls": [], "workId": "sitr" }, { "number": 56, "key": "bib.bib37", "title": "Dexterity from touch: self-supervised pre-training of tactile representations with robotic play", "url": "https://arxiv.org/abs/2303.12076", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Guzey et al. (2023)", "bibliographyText": "Guzey et al. (2023) I. Guzey, B. Evans, S. Chintala, and L. Pinto Dexterity from touch: self-supervised pre-training of tactile representations with robotic play . arXiv preprint arXiv:2303.12076 . Cited by: §II-A , §III-A , §III-A , §III-C , TABLE I .", "originalUrls": [], "workId": "t-dex" }, { "number": 57, "key": "bib.bib119", "title": "Soft actor-critic: off-policy maximum entropy deep reinforcement learning with a stochastic actor", "url": "https://arxiv.org/html/2610.20134#bib.bib119", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Haarnoja et al. (2018)", "bibliographyText": "Haarnoja et al. (2018) T. Haarnoja, A. Zhou, P. Abbeel, and S. Levine Soft actor-critic: off-policy maximum entropy deep reinforcement learning with a stochastic actor . In International conference on machine learning , pp. 1861–1870 . Cited by: §III-B .", "originalUrls": [] }, { "number": 58, "key": "bib.bib42", "title": "TLA: tactile-language-action model for contact-rich manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib42", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by exact normalized original title. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Hao et al. (2026)", "bibliographyText": "Hao et al. (2026) P. Hao, C. Zhang, D. Li, X. Cao, X. Hao, S. Cui, and S. Wang TLA: tactile-language-action model for contact-rich manipulation . Robot Learning 3 ( 1 ), pp. 17–18 . Cited by: §I , TABLE II , §IV , §IV , §VI-A , §VI-A , TABLE III .", "originalUrls": [], "workId": "tla" }, { "number": 59, "key": "bib.bib120", "title": "Masked autoencoders are scalable vision learners", "url": "https://arxiv.org/html/2610.20134#bib.bib120", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "He et al. (2022)", "bibliographyText": "He et al. (2022) K. He, X. Chen, S. Xie, Y. Li, P. Dollár, and R. Girshick Masked autoencoders are scalable vision learners . In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pp. 16000–16009 . Cited by: §II-A , §III-B .", "originalUrls": [] }, { "number": 60, "key": "bib.bib12", "title": "Foar: force-aware reactive policy for contact-rich robotic manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib12", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by exact normalized original title. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "He et al. (2025)", "bibliographyText": "He et al. (2025) Z. He, H. Fang, J. Chen, H. Fang, and C. Lu Foar: force-aware reactive policy for contact-rich robotic manipulation . IEEE Robotics and Automation Letters . Cited by: §V , §V .", "originalUrls": [], "workId": "foar" }, { "number": 61, "key": "bib.bib62", "title": "ViTacFormer: learning cross-modal representation for visuo-tactile dexterous manipulation", "url": "https://arxiv.org/abs/2506.15953", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Heng et al. (2025)", "bibliographyText": "Heng et al. (2025) L. Heng, H. Geng, K. Zhang, P. Abbeel, and J. Malik ViTacFormer: learning cross-modal representation for visuo-tactile dexterous manipulation . arXiv preprint arXiv:2506.15953 . Cited by: §II-B .", "originalUrls": [], "workId": "vitacformer" }, { "number": 62, "key": "bib.bib52", "title": "Sparsh: self-supervised touch representations for vision-based tactile sensing", "url": "https://arxiv.org/abs/2410.24090", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Higuera et al. (2024)", "bibliographyText": "Higuera et al. (2024) C. Higuera, A. Sharma, C. K. Bodduluri, T. Fan, P. Lancaster, M. Kalakrishnan, M. Kaess, B. Boots, M. Lambeta, T. Wu, et al. Sparsh: self-supervised touch representations for vision-based tactile sensing . arXiv preprint arXiv:2410.24090 . Cited by: §I , §II-A , §II-D , §VI-B , §VI-C , TABLE III , §VII-A .", "originalUrls": [], "workId": "sparsh" }, { "number": 63, "key": "bib.bib60", "title": "Tactile beyond pixels: multisensory touch representations for robot manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib60", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Higuera et al. (2025)", "bibliographyText": "Higuera et al. (2025) C. Higuera, A. Sharma, T. Fan, C. K. Bodduluri, B. Boots, M. Kaess, M. Lambeta, T. Wu, Z. Liu, F. R. Hogan, et al. Tactile beyond pixels: multisensory touch representations for robot manipulation . In Conference on Robot Learning , pp. 105–123 . Cited by: §II-B , §VI .", "originalUrls": [], "workId": "sparsh-x" }, { "number": 64, "key": "bib.bib165", "title": "Denoising diffusion probabilistic models", "url": "https://arxiv.org/html/2610.20134#bib.bib165", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Ho et al. (2020)", "bibliographyText": "Ho et al. (2020) J. Ho, A. Jain, and P. Abbeel Denoising diffusion probabilistic models . Advances in neural information processing systems 33 , pp. 6840–6851 . Cited by: §III-C .", "originalUrls": [] }, { "number": 65, "key": "bib.bib86", "title": "Tactile sensing and control of robotic manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib86", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Howe (1993)", "bibliographyText": "Howe (1993) R. D. Howe Tactile sensing and control of robotic manipulation . Advanced Robotics 8 ( 3 ), pp. 245–261 . Cited by: §I , §III .", "originalUrls": [] }, { "number": 66, "key": "bib.bib128", "title": "Lora: low-rank adaptation of large language models. arxiv 2021", "url": "https://arxiv.org/abs/2106.09685", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Hu et al. (2024)", "bibliographyText": "Hu et al. (2024) E. J. Hu, Y. Shen, P. Wallis, Z. Allen-Zhu, Y. Li, S. Wang, L. Wang, W. Chen, et al. Lora: low-rank adaptation of large language models. arxiv 2021 . arXiv preprint arXiv:2106.09685 10 . Cited by: §IV , §IV .", "originalUrls": [] }, { "number": 67, "key": "bib.bib98", "title": "Machine learning for tactile perception: advancements, challenges, and opportunities", "url": "https://arxiv.org/html/2610.20134#bib.bib98", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Hu et al. (2023)", "bibliographyText": "Hu et al. (2023) Z. Hu, L. Lin, W. Lin, Y. Xu, X. Xia, Z. Peng, Z. Sun, and Z. Wang Machine learning for tactile perception: advancements, challenges, and opportunities . Advanced Intelligent Systems 5 ( 7 ), pp. 2200371 . Cited by: §I .", "originalUrls": [] }, { "number": 68, "key": "bib.bib29", "title": "3D-vitac: learning fine-grained manipulation with visuo-tactile sensing", "url": "https://arxiv.org/html/2610.20134#bib.bib29", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Huang et al. (2024a)", "bibliographyText": "Huang et al. (2024a) B. Huang, Y. Wang, X. Yang, Y. Luo, and Y. Li 3D-vitac: learning fine-grained manipulation with visuo-tactile sensing . In 8th Annual Conference on Robot Learning , Cited by: §II-B , §III-A , §III-A , §III-C , TABLE I .", "originalUrls": [], "workId": "3d-vitac" }, { "number": 69, "key": "bib.bib30", "title": "VT-refine: learning bimanual assembly with visuo-tactile feedback via simulation fine-tuning", "url": "https://openreview.net/forum?id=bOVF8Rj33i", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Huang et al. (2025a)", "bibliographyText": "Huang et al. (2025a) B. Huang, J. Xu, I. Akinola, W. Yang, B. Sundaralingam, R. O’Flaherty, D. Fox, X. Wang, A. Mousavian, Y. Chao, and Y. Li VT-refine: learning bimanual assembly with visuo-tactile feedback via simulation fine-tuning . In 9th Annual Conference on Robot Learning , External Links: Link Cited by: §III-C , §VI-C , §VI .", "originalUrls": [ "https://openreview.net/forum?id=bOVF8Rj33i" ], "workId": "vt-refine" }, { "number": 70, "key": "bib.bib43", "title": "Tactile-vla: unlocking vision-language-action model’s physical knowledge for tactile generalization", "url": "https://arxiv.org/abs/2507.09160", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Huang et al. (2025b)", "bibliographyText": "Huang et al. (2025b) J. Huang, S. Wang, F. Lin, Y. Hu, C. Wen, and Y. Gao Tactile-vla: unlocking vision-language-action model’s physical knowledge for tactile generalization . arXiv preprint arXiv:2507.09160 . Cited by: §I , TABLE II , §IV , §IV , §IV , §VI-A , §VI-A , TABLE III , §VII-B .", "originalUrls": [], "workId": "tactile-vla" }, { "number": 71, "key": "bib.bib102", "title": "Recent advances and future prospects in tactile sensors for normal and shear force detection, decoupling, and applications", "url": "https://arxiv.org/html/2610.20134#bib.bib102", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Huang et al. (2024b)", "bibliographyText": "Huang et al. (2024b) J. Huang, Y. Guo, Y. Jiang, F. Wang, L. Pan, and Y. Shi Recent advances and future prospects in tactile sensors for normal and shear force detection, decoupling, and applications . Journal of Semiconductors 45 ( 12 ), pp. 121601 . Cited by: §I .", "originalUrls": [] }, { "number": 72, "key": "bib.bib33", "title": "Adaptive contact-implicit model predictive control with online residual learning", "url": "https://arxiv.org/html/2610.20134#bib.bib33", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Huang et al. (2024c)", "bibliographyText": "Huang et al. (2024c) W. Huang, A. Aydinoglu, W. Jin, and M. Posa Adaptive contact-implicit model predictive control with online residual learning . In 2024 IEEE International Conference on Robotics and Automation (ICRA) , pp. 5822–5828 . Cited by: §V , §V .", "originalUrls": [] }, { "number": 73, "key": "bib.bib2", "title": "ViTacWorld: scaling visuo-tactile world models for contact-rich robot manipulation", "url": "https://arxiv.org/abs/2607.22530", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Huang et al. (2026a)", "bibliographyText": "Huang et al. (2026a) Y. Huang, S. Sang, H. Lu, S. Ni, S. Wu, Z. Guo, Y. Shi, and J. Wang ViTacWorld: scaling visuo-tactile world models for contact-rich robot manipulation . arXiv preprint arXiv:2607.22530 . External Links: 2607.22530 , Document Cited by: §VII-C .", "originalUrls": [ "https://dx.doi.org/10.48550/arXiv.2607.22530" ], "workId": "vitacworld" }, { "number": 74, "key": "bib.bib44", "title": "Tactile-force alignment in vision-language-action models for force-aware manipulation", "url": "https://arxiv.org/abs/2601.20321", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Huang et al. (2026b)", "bibliographyText": "Huang et al. (2026b) Y. Huang, P. Lin, W. Li, D. Li, J. Li, J. Jiang, C. Xiao, and Z. Jiao Tactile-force alignment in vision-language-action models for force-aware manipulation . arXiv preprint arXiv:2601.20321 . Cited by: TABLE II , §IV , §IV , §IV , §VI-A , §VI-C , TABLE III , TABLE III , TABLE III , §VII-A .", "originalUrls": [], "workId": "taf-vla" }, { "number": 75, "key": "bib.bib140", "title": "Gpt-4o system card", "url": "https://arxiv.org/abs/2410.21276", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Hurst et al. (2024)", "bibliographyText": "Hurst et al. (2024) A. Hurst, A. Lerer, A. P. Goucher, A. Perelman, A. Ramesh, A. Clark, A. Ostrow, A. Welihinda, A. Hayes, A. Radford, et al. Gpt-4o system card . arXiv preprint arXiv:2410.21276 . Cited by: §IV .", "originalUrls": [] }, { "number": 76, "key": "bib.bib85", "title": "p ​ i ​ _ ​ 0.5 pi\\_{0.5} : A vision-language-action model with open-world generalization", "url": "https://arxiv.org/abs/2504.16054", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Intelligence et al. (2025)", "bibliographyText": "Intelligence et al. (2025) P. Intelligence, K. Black, N. Brown, J. Darpinian, K. Dhabalia, D. Driess, A. Esmail, M. Equi, C. Finn, N. Fusai, et al. p ​ i ​ _ ​ 0.5 pi\\_{0.5} : A vision-language-action model with open-world generalization . arXiv preprint arXiv:2504.16054 . Cited by: §IV .", "originalUrls": [], "workId": "pi05" }, { "number": 77, "key": "bib.bib123", "title": "Image-to-image translation with conditional adversarial networks", "url": "https://arxiv.org/html/2610.20134#bib.bib123", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Isola et al. (2017)", "bibliographyText": "Isola et al. (2017) P. Isola, J. Zhu, T. Zhou, and A. A. Efros Image-to-image translation with conditional adversarial networks . CVPR . Cited by: §III-B .", "originalUrls": [] }, { "number": 78, "key": "bib.bib91", "title": "A comprehensive review of tactile sensing technologies in space robotics", "url": "https://arxiv.org/html/2610.20134#bib.bib91", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Jahanshahi et al. (2025)", "bibliographyText": "Jahanshahi et al. (2025) H. Jahanshahi et al. A comprehensive review of tactile sensing technologies in space robotics . Chinese Journal of Aeronautics 38 ( 7 ), pp. 103423 . Cited by: §I .", "originalUrls": [] }, { "number": 79, "key": "bib.bib158", "title": "Bc-z: zero-shot task generalization with robotic imitation learning", "url": "https://arxiv.org/html/2610.20134#bib.bib158", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Jang et al. (2022)", "bibliographyText": "Jang et al. (2022) E. Jang, A. Irpan, M. Khansari, D. Kappler, F. Ebert, C. Lynch, S. Levine, and C. Finn Bc-z: zero-shot task generalization with robotic imitation learning . In conference on Robot Learning , pp. 991–1002 . Cited by: §III-A .", "originalUrls": [], "workId": "bc-z" }, { "number": 80, "key": "bib.bib135", "title": "Visual prompt tuning", "url": "https://arxiv.org/html/2610.20134#bib.bib135", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Jia et al. (2022)", "bibliographyText": "Jia et al. (2022) M. Jia, L. Tang, B. Chen, C. Cardie, S. Belongie, B. Hariharan, and S. Lim Visual prompt tuning . In European conference on computer vision , pp. 709–727 . Cited by: §IV .", "originalUrls": [] }, { "number": 81, "key": "bib.bib88", "title": "Progress on flexible tactile sensors in robotic applications on objects properties recognition, manipulation and human-machine interactions", "url": "https://arxiv.org/html/2610.20134#bib.bib88", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Jin et al. (2023)", "bibliographyText": "Jin et al. (2023) J. Jin, S. Wang, Z. Zhang, D. Mei, and Y. Wang Progress on flexible tactile sensors in robotic applications on objects properties recognition, manipulation and human-machine interactions . Soft Science 3 ( 1 ), pp. N–A . Cited by: §I .", "originalUrls": [] }, { "number": 82, "key": "bib.bib3", "title": "SoftVTBench: a deformation-aware visuo-tactile dataset and benchmark for deformable-object manipulation", "url": "https://arxiv.org/abs/2608.18701", "role": "reference", "status": "candidate", "note": "In-scope tactile dataset, benchmark, simulation, or world-model candidate. Original-source task scope and model-versus-policy role need review; no canonical identity or public release is inferred from this citation alone.", "sourceLabel": "Jing et al. (2026)", "bibliographyText": "Jing et al. (2026) B. Jing, M. Wang, R. Hao, C. Ge, H. Shen, J. He, Y. Cui, Y. Hou, W. Zhou, J. Wang, M. Li, D. Zhang, D. Zhao, H. Liu, X. Li, S. Liu, P. Luo, and H. Yu SoftVTBench: a deformation-aware visuo-tactile dataset and benchmark for deformable-object manipulation . arXiv preprint arXiv:2608.18701 . External Links: 2608.18701 , Document Cited by: §VII-D .", "originalUrls": [ "https://dx.doi.org/10.48550/arXiv.2608.18701" ] }, { "number": 83, "key": "bib.bib152", "title": "Reducing cross-sensor domain gaps in tactile sensing via few-sample-driven style-to-content unsupervised domain adaptation", "url": "https://arxiv.org/html/2610.20134#bib.bib152", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "Jing and Qian (2025)", "bibliographyText": "Jing and Qian (2025) X. Jing and K. Qian Reducing cross-sensor domain gaps in tactile sensing via few-sample-driven style-to-content unsupervised domain adaptation . Sensors 25 ( 1 ), pp. 256 . Cited by: §VI-B , §VI .", "originalUrls": [] }, { "number": 84, "key": "bib.bib11", "title": "Coding and use of tactile signals from the fingertips in object manipulation tasks", "url": "https://arxiv.org/html/2610.20134#bib.bib11", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Johansson and Flanagan (2009)", "bibliographyText": "Johansson and Flanagan (2009) R. S. Johansson and J. R. Flanagan Coding and use of tactile signals from the fingertips in object manipulation tasks . Nature Reviews Neuroscience 10 ( 5 ), pp. 345–359 . Cited by: §II , §VII .", "originalUrls": [] }, { "number": 85, "key": "bib.bib174", "title": "Vision-language-action models for robotics: a review towards real-world applications", "url": "https://arxiv.org/html/2610.20134#bib.bib174", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Kawaharazuka et al. (2025)", "bibliographyText": "Kawaharazuka et al. (2025) K. Kawaharazuka, J. Oh, J. Yamada, I. Posner, and Y. Zhu Vision-language-action models for robotics: a review towards real-world applications . IEEE Access . Cited by: §IV .", "originalUrls": [] }, { "number": 86, "key": "bib.bib79", "title": "Robot-r1: reinforcement learning for enhanced embodied reasoning in robotics", "url": "https://arxiv.org/html/2610.20134#bib.bib79", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Kim et al. (2026)", "bibliographyText": "Kim et al. (2026) D. Kim, S. Park, H. Jang, J. Shin, J. Kim, and Y. Seo Robot-r1: reinforcement learning for enhanced embodied reasoning in robotics . Advances in Neural Information Processing Systems 38 , pp. 161472–161507 . Cited by: §I .", "originalUrls": [] }, { "number": 87, "key": "bib.bib105", "title": "A review of robot learning for manipulation: challenges, representations, and algorithms", "url": "https://arxiv.org/html/2610.20134#bib.bib105", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Kroemer et al. (2021)", "bibliographyText": "Kroemer et al. (2021) O. Kroemer, S. Niekum, and G. Konidaris A review of robot learning for manipulation: challenges, representations, and algorithms . Journal of machine learning research 22 ( 30 ), pp. 1–82 . Cited by: §I .", "originalUrls": [] }, { "number": 88, "key": "bib.bib147", "title": "Making sense of vision and touch: self-supervised learning of multimodal representations for contact-rich tasks", "url": "https://arxiv.org/abs/1810.10191", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Lee et al. (2018)", "bibliographyText": "Lee et al. (2018) M. A. Lee, Y. Zhu, K. Srinivasan, P. Shah, S. Savarese, L. Fei-Fei, A. Garg, and J. Bohg Making sense of vision and touch: self-supervised learning of multimodal representations for contact-rich tasks . arXiv preprint arXiv:1810.10191 . Cited by: §II-A .", "originalUrls": [], "workId": "making-sense-vision-touch" }, { "number": 89, "key": "bib.bib70", "title": "The future lies in a pair of tactile hands", "url": "https://arxiv.org/html/2610.20134#bib.bib70", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Lepora (2024)", "bibliographyText": "Lepora (2024) N. F. Lepora The future lies in a pair of tactile hands . Science Robotics 9 ( 91 ), pp. eadq1501 . Cited by: §I , §I .", "originalUrls": [] }, { "number": 90, "key": "bib.bib74", "title": "The developments and challenges toward dexterous and embodied robotic manipulation: a survey", "url": "https://arxiv.org/html/2610.20134#bib.bib74", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Li et al. (2025a)", "bibliographyText": "Li et al. (2025a) G. Li, R. Wang, P. Xu, Q. Ye, and J. Chen The developments and challenges toward dexterous and embodied robotic manipulation: a survey . IEEE Robotics & Automation Magazine . Cited by: §I .", "originalUrls": [] }, { "number": 91, "key": "bib.bib169", "title": "Tac-dino: learning vision-tactile features with patch alignment", "url": "https://arxiv.org/abs/2606.12069", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Li et al. (2026a)", "bibliographyText": "Li et al. (2026a) H. Li, Y. Dong, Y. Xu, Y. Tang, M. Li, J. Qiu, Q. Yao, X. Zhu, Y. Shen, N. Xue, and Y. Li Tac-dino: learning vision-tactile features with patch alignment . arXiv preprint arXiv:2606.12069 . Cited by: §II-C .", "originalUrls": [], "workId": "tac-dino" }, { "number": 92, "key": "bib.bib170", "title": "Adaptive visuo-tactile fusion with predictive force attention for dexterous manipulation", "url": "https://arxiv.org/abs/2505.13982", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Li et al. (2025b)", "bibliographyText": "Li et al. (2025b) J. Li, T. Wu, J. Zhang, Z. Chen, H. Jin, M. Wu, Y. Shen, Y. Yang, and H. Dong Adaptive visuo-tactile fusion with predictive force attention for dexterous manipulation . arXiv preprint arXiv:2505.13982 . Cited by: §II-B .", "originalUrls": [], "workId": "adaptac" }, { "number": 93, "key": "bib.bib71", "title": "VHTformer: a joint query perception method for visual-haptic-textual information based on transformer", "url": "https://arxiv.org/html/2610.20134#bib.bib71", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "Li et al. (2025c)", "bibliographyText": "Li et al. (2025c) L. Li, G. Chen, H. Wang, B. Li, B. Wang, Z. Yi, and C. Zhao VHTformer: a joint query perception method for visual-haptic-textual information based on transformer . Applied Soft Computing , pp. 113529 . Cited by: §II-B .", "originalUrls": [] }, { "number": 94, "key": "bib.bib148", "title": "Marker displacement method used in vision-based tactile sensors—from 2-d to 3-d: a review", "url": "https://arxiv.org/html/2610.20134#bib.bib148", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Li et al. (2023)", "bibliographyText": "Li et al. (2023) M. Li, T. Li, and Y. Jiang Marker displacement method used in vision-based tactile sensors—from 2-d to 3-d: a review . IEEE Sensors Journal 23 ( 8 ), pp. 8042–8059 . Cited by: §II-A .", "originalUrls": [] }, { "number": 95, "key": "bib.bib145", "title": "A review of tactile information: perception and action through touch", "url": "https://arxiv.org/html/2610.20134#bib.bib145", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Li et al. (2020)", "bibliographyText": "Li et al. (2020) Q. Li, O. Kroemer, Z. Su, F. F. Veiga, M. Kaboli, and H. J. Ritter A review of tactile information: perception and action through touch . IEEE Transactions on Robotics 36 ( 6 ), pp. 1619–1634 . Cited by: §I .", "originalUrls": [] }, { "number": 96, "key": "bib.bib65", "title": "Tactile functasets: neural implicit representations of tactile datasets", "url": "https://arxiv.org/html/2610.20134#bib.bib65", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Li et al. (2025d)", "bibliographyText": "Li et al. (2025d) S. Li, S. Rodriguez, Y. Dou, A. Owens, and N. Fazeli Tactile functasets: neural implicit representations of tactile datasets . In 2025 IEEE International Conference on Robotics and Automation (ICRA) , pp. 3219–3225 . Cited by: §II-A .", "originalUrls": [], "workId": "tactile-functasets" }, { "number": 97, "key": "bib.bib182", "title": "Taccel: scaling up vision-based tactile robotics via high-performance gpu simulation", "url": "https://arxiv.org/html/2610.20134#bib.bib182", "role": "reference", "status": "candidate", "note": "In-scope tactile dataset, benchmark, simulation, or world-model candidate. Original-source task scope and model-versus-policy role need review; no canonical identity or public release is inferred from this citation alone.", "sourceLabel": "Li et al. (2026b)", "bibliographyText": "Li et al. (2026b) Y. Li, W. Du, C. Yu, P. Li, Z. Zhao, T. Liu, C. Jiang, Y. Zhu, and S. Huang Taccel: scaling up vision-based tactile robotics via high-performance gpu simulation . Advances in Neural Information Processing Systems 38 , pp. 94577–94604 . Cited by: §VI-C .", "originalUrls": [] }, { "number": 98, "key": "bib.bib32", "title": "PP-tac: paper picking using omnidirectional tactile feedback in dexterous robotic hands", "url": "https://arxiv.org/html/2610.20134#bib.bib32", "role": "policy", "status": "indexed", "note": "Manually verified original-source alias: Workshop citation inserts omnidirectional into the title; the same six Lin/Huang/Li/Ma/Xiao/Jiao authors and PP-Tac method verify the original paper identity.", "sourceLabel": "Lin et al. (2025)", "bibliographyText": "Lin et al. (2025) P. Lin, Y. Huang, W. Li, J. Ma, C. Xiao, and Z. Jiao PP-tac: paper picking using omnidirectional tactile feedback in dexterous robotic hands . In 7th Robot Learning Workshop: Towards Robots with Human-Level Abilities , Cited by: §III-C , §III-C , §III-C , §III-C , TABLE I , §VI-A , §VI-C .", "originalUrls": [ "https://arxiv.org/abs/2504.16649" ], "workId": "pp-tac" }, { "number": 99, "key": "bib.bib130", "title": "Flow matching for generative modeling", "url": "https://arxiv.org/abs/2210.02747", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Lipman et al. (2022)", "bibliographyText": "Lipman et al. (2022) Y. Lipman, R. T. Chen, H. Ben-Hamu, M. Nickel, and M. Le Flow matching for generative modeling . arXiv preprint arXiv:2210.02747 . Cited by: §IV .", "originalUrls": [] }, { "number": 100, "key": "bib.bib58", "title": "Vitamin: learning contact-rich tasks through robot-free visuo-tactile manipulation interface", "url": "https://arxiv.org/abs/2504.06156", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Liu et al. (2025)", "bibliographyText": "Liu et al. (2025) F. Liu, C. Li, Y. Qin, J. Xu, P. Abbeel, and R. Chen Vitamin: learning contact-rich tasks through robot-free visuo-tactile manipulation interface . arXiv preprint arXiv:2504.06156 . Cited by: §II-A , §II-C , §VI-B .", "originalUrls": [], "workId": "vitamin" }, { "number": 101, "key": "bib.bib115", "title": "Flow straight and fast: learning to generate and transfer data with rectified flow", "url": "https://arxiv.org/abs/2209.03003", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Liu et al. (2022)", "bibliographyText": "Liu et al. (2022) X. Liu, C. Gong, and Q. Liu Flow straight and fast: learning to generate and transfer data with rectified flow . arXiv preprint arXiv:2209.03003 . Cited by: §III-A .", "originalUrls": [] }, { "number": 102, "key": "bib.bib101", "title": "Progress and prospects in flexible tactile sensors", "url": "https://arxiv.org/html/2610.20134#bib.bib101", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Liu et al. (2023)", "bibliographyText": "Liu et al. (2023) Y. Liu, W. Wang, and X. Chen Progress and prospects in flexible tactile sensors . Frontiers in Bioengineering and Biotechnology 11 , pp. 1264563 . Cited by: §I .", "originalUrls": [] }, { "number": 103, "key": "bib.bib22", "title": "Pose-and-shear-based tactile servoing", "url": "https://arxiv.org/html/2610.20134#bib.bib22", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Lloyd and Lepora (2024)", "bibliographyText": "Lloyd and Lepora (2024) J. Lloyd and N. F. Lepora Pose-and-shear-based tactile servoing . The International Journal of Robotics Research 43 ( 7 ), pp. 1024–1055 . Cited by: §V , §V , §VII-B .", "originalUrls": [] }, { "number": 104, "key": "bib.bib95", "title": "Tactile robotics: an outlook", "url": "https://arxiv.org/html/2610.20134#bib.bib95", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Luo et al. (2025)", "bibliographyText": "Luo et al. (2025) S. Luo, N. F. Lepora, W. Yuan, K. Althoefer, G. Cheng, and R. Dahiya Tactile robotics: an outlook . IEEE Transactions on Robotics . Cited by: §I .", "originalUrls": [] }, { "number": 105, "key": "bib.bib68", "title": "FG-cltp: fine-grained contrastive language tactile pretraining for robotic manipulation", "url": "https://dx.doi.org/10.1109/LRA.2026.3711368", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "Ma et al. (2026a)", "bibliographyText": "Ma et al. (2026a) W. Ma, C. Zhang, Y. Cai, G. Yao, S. Cui, and S. Wang FG-cltp: fine-grained contrastive language tactile pretraining for robotic manipulation . IEEE Robotics and Automation Letters ( ), pp. 1–8 . External Links: Document Cited by: §II-C , §VI-C , §VII-A .", "originalUrls": [ "https://dx.doi.org/10.1109/LRA.2026.3711368" ] }, { "number": 106, "key": "bib.bib77", "title": "A survey on vision–language–action models for embodied ai", "url": "https://arxiv.org/html/2610.20134#bib.bib77", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Ma et al. (2026b)", "bibliographyText": "Ma et al. (2026b) Y. Ma, Z. Song, Y. Zhuang, J. Hao, and I. King A survey on vision–language–action models for embodied ai . IEEE Transactions on Neural Networks and Learning Systems . Cited by: §I .", "originalUrls": [] }, { "number": 107, "key": "bib.bib137", "title": "Isaac gym: high performance gpu-based physics simulation for robot learning", "url": "https://arxiv.org/abs/2108.10470", "role": "reference", "status": "adjacent-resource", "note": "General physics simulator/tool reference; useful infrastructure, but this citation alone is not a dedicated tactile benchmark or manipulation policy.", "sourceLabel": "Makoviychuk et al. (2021)", "bibliographyText": "Makoviychuk et al. (2021) V. Makoviychuk, L. Wawrzyniak, Y. Guo, M. Lu, K. Storey, M. Macklin, D. Hoeller, N. Rudin, A. Allshire, A. Handa, et al. Isaac gym: high performance gpu-based physics simulation for robot learning . arXiv preprint arXiv:2108.10470 . Cited by: §IV , §VI-C , §VI-C .", "originalUrls": [] }, { "number": 108, "key": "bib.bib103", "title": "Recent progress of biomimetic tactile sensing technology based on magnetic sensors", "url": "https://arxiv.org/html/2610.20134#bib.bib103", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Man et al. (2022)", "bibliographyText": "Man et al. (2022) J. Man, G. Chen, and J. Chen Recent progress of biomimetic tactile sensing technology based on magnetic sensors . Biosensors 12 ( 11 ), pp. 1054 . Cited by: §I .", "originalUrls": [] }, { "number": 109, "key": "bib.bib151", "title": "Action conditioned tactile prediction: case study on slip prediction", "url": "https://arxiv.org/abs/2205.09430", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Mandil et al. (2022)", "bibliographyText": "Mandil et al. (2022) W. Mandil K. Nazari et al. Action conditioned tactile prediction: case study on slip prediction . arXiv preprint arXiv:2205.09430 . Cited by: §II-A .", "originalUrls": [] }, { "number": 110, "key": "bib.bib90", "title": "Tactile-sensing technologies: trends, challenges and outlook in agri-food manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib90", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Mandil et al. (2023)", "bibliographyText": "Mandil et al. (2023) W. Mandil, V. Rajendran, K. Nazari, and A. Ghalamzan-Esfahani Tactile-sensing technologies: trends, challenges and outlook in agri-food manipulation . Sensors 23 ( 17 ), pp. 7362 . Cited by: §I .", "originalUrls": [] }, { "number": 111, "key": "bib.bib163", "title": "Receding horizon control", "url": "https://arxiv.org/html/2610.20134#bib.bib163", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Mattingley et al. (2011)", "bibliographyText": "Mattingley et al. (2011) J. Mattingley, Y. Wang, and S. Boyd Receding horizon control . IEEE Control Systems Magazine 31 ( 3 ), pp. 52–65 . Cited by: §III-C .", "originalUrls": [] }, { "number": 112, "key": "bib.bib4", "title": "Towards generalist robot learning from internet video: A survey", "url": "https://dx.doi.org/10.1613/JAIR.1.17400", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "McCarthy et al. (2025)", "bibliographyText": "McCarthy et al. (2025) R. McCarthy, D. C. H. Tan, D. Schmidt, F. Acero, N. Herr, Y. Du, T. G. Thuruthel, and Z. Li Towards generalist robot learning from internet video: A survey . Journal of Artificial Intelligence Research 83 , pp. 12:1–12:48 . External Links: Document Cited by: §IV .", "originalUrls": [ "https://dx.doi.org/10.1613/JAIR.1.17400" ] }, { "number": 113, "key": "bib.bib89", "title": "Tactile sensors: a review", "url": "https://arxiv.org/html/2610.20134#bib.bib89", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Meribout et al. (2024)", "bibliographyText": "Meribout et al. (2024) M. Meribout, N. A. Takele, O. Derege, N. Rifiki, M. El Khalil, V. Tiwari, and J. Zhong Tactile sensors: a review . Measurement 238 , pp. 115332 . Cited by: §I .", "originalUrls": [] }, { "number": 114, "key": "bib.bib110", "title": "Enhancing tactile-based reinforcement learning for robotic control", "url": "https://arxiv.org/html/2610.20134#bib.bib110", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Miller et al. (2026)", "bibliographyText": "Miller et al. (2026) E. Miller, T. McInroe, D. Abel, O. Mac Aodha, and S. Vijayakumar Enhancing tactile-based reinforcement learning for robotic control . Advances in Neural Information Processing Systems 38 , pp. 129460–129494 . Cited by: §I .", "originalUrls": [] }, { "number": 115, "key": "bib.bib87", "title": "Tactile modality fusion for vision-language-action models", "url": "https://arxiv.org/abs/2603.14604", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Morissette et al. (2026)", "bibliographyText": "Morissette et al. (2026) C. Morissette, A. Abyaneh, W. Chang, A. Houssaini, D. Meger, H. Lin, J. Tremblay, and G. Dudek Tactile modality fusion for vision-language-action models . arXiv preprint arXiv:2603.14604 . Cited by: §I .", "originalUrls": [], "workId": "tacfilm" }, { "number": 116, "key": "bib.bib125", "title": "Learning to grasp without seeing", "url": "https://arxiv.org/html/2610.20134#bib.bib125", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Murali et al. (2020)", "bibliographyText": "Murali et al. (2020) A. Murali, Y. Li, D. Gandhi, and A. Gupta Learning to grasp without seeing . In Proceedings of the 2018 International Symposium on Experimental Robotics , J. Xiao, T. Kröger, and O. Khatib (Eds.) , Cham , pp. 375–386 . Cited by: §II-A .", "originalUrls": [] }, { "number": 117, "key": "bib.bib114", "title": "Proactive slip control by learned slip model and trajectory adaptation", "url": "https://proceedings.mlr.press/v205/nazari23a.html", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Nazari et al. (2023)", "bibliographyText": "Nazari et al. (2023) K. Nazari, W. Mandil, and A. M. G. Esfahani Proactive slip control by learned slip model and trajectory adaptation . In Proceedings of The 6th Conference on Robot Learning , K. Liu, D. Kulic, and J. Ichnowski (Eds.) , Proceedings of Machine Learning Research , Vol. 205 , pp. 751–761 . External Links: Link Cited by: §I .", "originalUrls": [ "https://proceedings.mlr.press/v205/nazari23a.html" ] }, { "number": 118, "key": "bib.bib113", "title": "Bioinspired trajectory modulation for effective slip control in robot manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib113", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Nazari et al. (2025)", "bibliographyText": "Nazari et al. (2025) K. Nazari, W. Mandil, M. Santello, S. Park, and A. Ghalamzan-E Bioinspired trajectory modulation for effective slip control in robot manipulation . Nature Machine Intelligence 7 ( 7 ), pp. 1119–1128 . Cited by: §I .", "originalUrls": [] }, { "number": 119, "key": "bib.bib161", "title": "Pixel motion diffusion is what we need for robot control", "url": "https://arxiv.org/html/2610.20134#bib.bib161", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Nguyen et al. (2026)", "bibliographyText": "Nguyen et al. (2026) E. Nguyen, Y. Zhang, K. Ranasinghe, X. Li, and M. S. Ryoo Pixel motion diffusion is what we need for robot control . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pp. 23663–23672 . Cited by: §III-C .", "originalUrls": [] }, { "number": 120, "key": "bib.bib31", "title": "Tactile-driven non-prehensile object manipulation via extrinsic contact mode control", "url": "https://arxiv.org/html/2610.20134#bib.bib31", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Oller et al. (2024)", "bibliographyText": "Oller et al. (2024) M. Oller, D. Berenson, and N. Fazeli Tactile-driven non-prehensile object manipulation via extrinsic contact mode control. . In Robotics: Science and Systems , Cited by: §V , §V .", "originalUrls": [] }, { "number": 121, "key": "bib.bib17", "title": "Manipulation via membranes: high-resolution and highly deformable tactile sensing and control", "url": "https://arxiv.org/html/2610.20134#bib.bib17", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Oller et al. (2023)", "bibliographyText": "Oller et al. (2023) M. Oller, M. P. i Lisbona, D. Berenson, and N. Fazeli Manipulation via membranes: high-resolution and highly deformable tactile sensing and control . In Conference on Robot Learning , pp. 1850–1859 . Cited by: §V , §V , §VI-A .", "originalUrls": [] }, { "number": 122, "key": "bib.bib132", "title": "Representation learning with contrastive predictive coding", "url": "https://arxiv.org/abs/1807.03748", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Oord et al. (2018)", "bibliographyText": "Oord et al. (2018) A. v. d. Oord, Y. Li, and O. Vinyals Representation learning with contrastive predictive coding . arXiv preprint arXiv:1807.03748 . Cited by: §II-A , §IV .", "originalUrls": [] }, { "number": 123, "key": "bib.bib142", "title": "Dinov2: learning robust visual features without supervision", "url": "https://arxiv.org/abs/2304.07193", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Oquab et al. (2023)", "bibliographyText": "Oquab et al. (2023) M. Oquab, T. Darcet, T. Moutakanni, H. Vo, M. Szafraniec, V. Khalidov, P. Fernandez, D. Haziza, F. Massa, A. El-Nouby, et al. Dinov2: learning robust visual features without supervision . arXiv preprint arXiv:2304.07193 . Cited by: §IV .", "originalUrls": [] }, { "number": 124, "key": "bib.bib157", "title": "An algorithmic perspective on imitation learning", "url": "https://arxiv.org/html/2610.20134#bib.bib157", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Osa et al. (2018)", "bibliographyText": "Osa et al. (2018) T. Osa, J. Pajarinen, G. Neumann, J. A. Bagnell, P. Abbeel, and J. Peters An algorithmic perspective on imitation learning . Foundations and Trends® in Robotics 7 ( 1-2 ), pp. 1–179 . Cited by: §III-A .", "originalUrls": [] }, { "number": 125, "key": "bib.bib82", "title": "Open x-embodiment: robotic learning datasets and rt-x models: open x-embodiment collaboration 0", "url": "https://arxiv.org/html/2610.20134#bib.bib82", "role": "policy", "status": "indexed", "note": "Manually verified original-source alias: Bibliography appends Open X-Embodiment Collaboration text to the original title; O’Neill and collaborators match the original RT-X paper.", "sourceLabel": "O’Neill et al. (2024)", "bibliographyText": "O’Neill et al. (2024) A. O’Neill, A. Rehman, A. Maddukuri, A. Gupta, A. Padalkar, A. Lee, A. Pooley, A. Gupta, A. Mandlekar, A. Jain, et al. Open x-embodiment: robotic learning datasets and rt-x models: open x-embodiment collaboration 0 . In 2024 IEEE International Conference on Robotics and Automation (ICRA) , pp. 6892–6903 . Cited by: §I .", "originalUrls": [ "https://arxiv.org/abs/2310.08864" ], "workId": "rt-x" }, { "number": 126, "key": "bib.bib5", "title": "TactX: learning shared tactile representations across diverse sensors", "url": "https://arxiv.org/abs/2606.31236", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Park et al. (2026)", "bibliographyText": "Park et al. (2026) J. Park, S. Bhadang, C. Sferrazza, S. Yi, and X. Wang TactX: learning shared tactile representations across diverse sensors . arXiv preprint arXiv:2606.31236 . External Links: 2606.31236 , Document Cited by: §VII-A , §VII-D .", "originalUrls": [ "https://dx.doi.org/10.48550/arXiv.2606.31236" ], "workId": "tactx" }, { "number": 127, "key": "bib.bib171", "title": "Film: visual reasoning with a general conditioning layer", "url": "https://arxiv.org/html/2610.20134#bib.bib171", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Perez et al. (2018)", "bibliographyText": "Perez et al. (2018) E. Perez, F. Strub, H. De Vries, V. Dumoulin, and A. Courville Film: visual reasoning with a general conditioning layer . In Proceedings of the AAAI conference on artificial intelligence , Vol. 32 . Cited by: §III-C .", "originalUrls": [] }, { "number": 128, "key": "bib.bib180", "title": "Pointnet: deep learning on point sets for 3d classification and segmentation", "url": "https://arxiv.org/html/2610.20134#bib.bib180", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Qi et al. (2017)", "bibliographyText": "Qi et al. (2017) C. R. Qi, H. Su, K. Mo, and L. J. Guibas Pointnet: deep learning on point sets for 3d classification and segmentation . In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 652–660 . Cited by: §V .", "originalUrls": [] }, { "number": 129, "key": "bib.bib134", "title": "Learning transferable visual models from natural language supervision", "url": "https://arxiv.org/html/2610.20134#bib.bib134", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Radford et al. (2021)", "bibliographyText": "Radford et al. (2021) A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al. Learning transferable visual models from natural language supervision . In International conference on machine learning , pp. 8748–8763 . Cited by: §II-C , §III-C , §IV .", "originalUrls": [] }, { "number": 130, "key": "bib.bib136", "title": "Direct preference optimization: your language model is secretly a reward model", "url": "https://arxiv.org/html/2610.20134#bib.bib136", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Rafailov et al. (2023)", "bibliographyText": "Rafailov et al. (2023) R. Rafailov, A. Sharma, E. Mitchell, C. D. Manning, S. Ermon, and C. Finn Direct preference optimization: your language model is secretly a reward model . Advances in neural information processing systems 36 , pp. 53728–53741 . Cited by: §IV .", "originalUrls": [] }, { "number": 131, "key": "bib.bib69", "title": "Contrastive touch-to-touch pretraining", "url": "https://dx.doi.org/10.1109/ICRA55743.2025.11127980", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Rodriguez et al. (2025a)", "bibliographyText": "Rodriguez et al. (2025a) S. Rodriguez, Y. Dou, W. van den Bogert, M. Oller, K. So, A. Owens, and N. Fazeli Contrastive touch-to-touch pretraining . In 2025 IEEE International Conference on Robotics and Automation (ICRA) , Vol. , pp. 5857–5863 . External Links: Document Cited by: §II-D .", "originalUrls": [ "https://dx.doi.org/10.1109/ICRA55743.2025.11127980" ], "workId": "cttp" }, { "number": 132, "key": "bib.bib63", "title": "Contrastive touch-to-touch pretraining", "url": "https://arxiv.org/html/2610.20134#bib.bib63", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Rodriguez et al. (2025b)", "bibliographyText": "Rodriguez et al. (2025b) S. Rodriguez, Y. Dou, W. van den Bogert, M. Oller, K. So, A. Owens, and N. Fazeli Contrastive touch-to-touch pretraining . In 2025 IEEE International Conference on Robotics and Automation (ICRA) , pp. 5857–5863 . Cited by: §II-A , §II-D .", "originalUrls": [], "workId": "cttp" }, { "number": 133, "key": "bib.bib172", "title": "U-net: convolutional networks for biomedical image segmentation", "url": "https://arxiv.org/html/2610.20134#bib.bib172", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Ronneberger et al. (2015)", "bibliographyText": "Ronneberger et al. (2015) O. Ronneberger, P. Fischer, and T. Brox U-net: convolutional networks for biomedical image segmentation . In International Conference on Medical image computing and computer-assisted intervention , pp. 234–241 . Cited by: §III-C .", "originalUrls": [] }, { "number": 134, "key": "bib.bib150", "title": "Imagenet large scale visual recognition challenge", "url": "https://arxiv.org/html/2610.20134#bib.bib150", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Russakovsky et al. (2015)", "bibliographyText": "Russakovsky et al. (2015) O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al. Imagenet large scale visual recognition challenge . International journal of computer vision 115 ( 3 ), pp. 211–252 . Cited by: §II-A .", "originalUrls": [] }, { "number": 135, "key": "bib.bib121", "title": "Proximal policy optimization algorithms", "url": "https://arxiv.org/abs/1707.06347", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Schulman et al. (2017)", "bibliographyText": "Schulman et al. (2017) J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov Proximal policy optimization algorithms . arXiv preprint arXiv:1707.06347 . Cited by: §III-B .", "originalUrls": [] }, { "number": 136, "key": "bib.bib188", "title": "The power of the senses: generalizable manipulation from vision and touch through masked multimodal learning", "url": "https://arxiv.org/abs/2311.00924", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Sferrazza et al. (2023)", "bibliographyText": "Sferrazza et al. (2023) C. Sferrazza, Y. Seo, H. Liu, Y. Lee, and P. Abbeel The power of the senses: generalizable manipulation from vision and touch through masked multimodal learning . arXiv preprint arXiv:2311.00924 . Cited by: §II-B .", "originalUrls": [], "workId": "m3l" }, { "number": 137, "key": "bib.bib149", "title": "Ground truth force distribution for learning-based tactile sensing: a finite element approach", "url": "https://arxiv.org/html/2610.20134#bib.bib149", "role": "reference", "status": "adjacent-resource", "note": "Supporting tactile/multisensory dataset, calibration labels, or general robot data corpus; no new executable action policy inferred from this bibliography citation. Resource details remain independently unreviewed here.", "sourceLabel": "Sferrazza et al. (2019)", "bibliographyText": "Sferrazza et al. (2019) C. Sferrazza, A. Wahlsten, C. Trueeb, and R. D’Andrea Ground truth force distribution for learning-based tactile sensing: a finite element approach . IEEE Access 7 , pp. 173438–173449 . Cited by: §II-A , §VI-C .", "originalUrls": [] }, { "number": 138, "key": "bib.bib19", "title": "Tactile tool manipulation", "url": "https://arxiv.org/abs/2301.06698", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Shirai et al. (2023)", "bibliographyText": "Shirai et al. (2023) Y. Shirai, D. K. Jha, A. U. Raghunathan, and D. Hong Tactile tool manipulation . arXiv preprint arXiv:2301.06698 . Cited by: §V , §V , §VI-A .", "originalUrls": [] }, { "number": 139, "key": "bib.bib26", "title": "Visual–tactile fusion and sac-based learning for robot peg-in-hole assembly in uncertain environments", "url": "https://arxiv.org/html/2610.20134#bib.bib26", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Tang et al. (2025)", "bibliographyText": "Tang et al. (2025) J. Tang, X. Yuan, and S. Li Visual–tactile fusion and sac-based learning for robot peg-in-hole assembly in uncertain environments . Machines 13 ( 7 ), pp. 605 . Cited by: §III-B , §III-B , §III-B , TABLE I , §VI .", "originalUrls": [] }, { "number": 140, "key": "bib.bib184", "title": "Maniskill3: gpu parallelized robotics simulation and rendering for generalizable embodied ai", "url": "https://arxiv.org/abs/2410.00425", "role": "simulator", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Tao et al. (2024)", "bibliographyText": "Tao et al. (2024) S. Tao, F. Xiang, A. Shukla, Y. Qin, X. Hinrichsen, X. Yuan, C. Bao, X. Lin, Y. Liu, T. Chan, et al. Maniskill3: gpu parallelized robotics simulation and rendering for generalizable embodied ai . arXiv preprint arXiv:2410.00425 . Cited by: §VI-C .", "originalUrls": [], "workId": "maniskill3" }, { "number": 141, "key": "bib.bib129", "title": "Gemma 2: improving open language models at a practical size", "url": "https://arxiv.org/abs/2408.00118", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Team et al. (2024)", "bibliographyText": "Team et al. (2024) G. Team, M. Riviere, S. Pathak, P. G. Sessa, C. Hardin, S. Bhupatiraju, L. Hussenot, T. Mesnard, B. Shahriari, A. Ramé, et al. Gemma 2: improving open language models at a practical size . arXiv preprint arXiv:2408.00118 . Cited by: §IV .", "originalUrls": [] }, { "number": 142, "key": "bib.bib76", "title": "GENE-26.5: advancing robotic manipulation to human level", "url": "https://genesis.ai/blog/gene-26-5-advancing-robotic-manipulation-to-human-level", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Team (2026)", "bibliographyText": "Team (2026) G. A. Team GENE-26.5: advancing robotic manipulation to human level . Genesis AI Blog . External Links: Link Cited by: §I .", "originalUrls": [ "https://genesis.ai/blog/gene-26-5-advancing-robotic-manipulation-to-human-level" ] }, { "number": 143, "key": "bib.bib187", "title": "Mujoco: a physics engine for model-based control", "url": "https://arxiv.org/html/2610.20134#bib.bib187", "role": "reference", "status": "adjacent-resource", "note": "General physics simulator/tool reference; useful infrastructure, but this citation alone is not a dedicated tactile benchmark or manipulation policy.", "sourceLabel": "Todorov et al. (2012)", "bibliographyText": "Todorov et al. (2012) E. Todorov, T. Erez, and Y. Tassa Mujoco: a physics engine for model-based control . In 2012 IEEE/RSJ international conference on intelligent robots and systems , pp. 5026–5033 . Cited by: §VI-C .", "originalUrls": [] }, { "number": 144, "key": "bib.bib80", "title": "A survey on imitation learning for contact-rich tasks in robotics", "url": "https://arxiv.org/html/2610.20134#bib.bib80", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Tsuji et al. (2025)", "bibliographyText": "Tsuji et al. (2025) T. Tsuji, Y. Kato, G. Solak, H. Zhang, T. Petrič, F. Nori, and A. Ajoudani A survey on imitation learning for contact-rich tasks in robotics . The International Journal of Robotics Research , pp. 02783649261417694 . Cited by: §I .", "originalUrls": [] }, { "number": 145, "key": "bib.bib131", "title": "Neural discrete representation learning", "url": "https://arxiv.org/html/2610.20134#bib.bib131", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Van Den Oord et al. (2017)", "bibliographyText": "Van Den Oord et al. (2017) A. Van Den Oord O. Vinyals et al. Neural discrete representation learning . Advances in neural information processing systems 30 . Cited by: §II-A , §IV .", "originalUrls": [] }, { "number": 146, "key": "bib.bib144", "title": "Wan: open and advanced large-scale video generative models", "url": "https://arxiv.org/abs/2503.20314", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Wan et al. (2025)", "bibliographyText": "Wan et al. (2025) T. Wan, A. Wang, B. Ai, B. Wen, C. Mao, C. Xie, D. Chen, F. Yu, H. Zhao, J. Yang, et al. Wan: open and advanced large-scale video generative models . arXiv preprint arXiv:2503.20314 . Cited by: §IV .", "originalUrls": [] }, { "number": 147, "key": "bib.bib126", "title": "Qwen2-vl: enhancing vision-language model’s perception of the world at any resolution", "url": "https://arxiv.org/abs/2409.12191", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Wang et al. (2024a)", "bibliographyText": "Wang et al. (2024a) P. Wang, S. Bai, S. Tan, S. Wang, Z. Fan, J. Bai, K. Chen, X. Liu, J. Wang, W. Ge, et al. Qwen2-vl: enhancing vision-language model’s perception of the world at any resolution . arXiv preprint arXiv:2409.12191 . Cited by: §IV , §IV , §IV .", "originalUrls": [] }, { "number": 148, "key": "bib.bib25", "title": "A robust model predictive controller for tactile servoing", "url": "https://arxiv.org/html/2610.20134#bib.bib25", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Wang et al. (2024b)", "bibliographyText": "Wang et al. (2024b) S. Wang, Y. Huang, W. W. Lee, T. Liu, X. Teng, Y. Zheng, and Q. Li A robust model predictive controller for tactile servoing . In 2024 IEEE International Conference on Robotics and Automation (ICRA) , pp. 13848–13854 . Cited by: §V , §V .", "originalUrls": [] }, { "number": 149, "key": "bib.bib124", "title": "The tactip family: soft optical tactile sensors with 3d-printed biomimetic morphologies", "url": "https://arxiv.org/html/2610.20134#bib.bib124", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "Ward-Cherrier et al. (2018)", "bibliographyText": "Ward-Cherrier et al. (2018) B. Ward-Cherrier, N. Pestell, L. Cramphorn, B. Winstone, M. E. Giannaccini, J. Rossiter, and N. F. Lepora The tactip family: soft optical tactile sensors with 3d-printed biomimetic morphologies . Soft robotics 5 ( 2 ), pp. 216–227 . Cited by: §III-B .", "originalUrls": [] }, { "number": 150, "key": "bib.bib6", "title": "TacVerse: a multi-sensor dataset and benchmark for cross-sensor vision-based tactile perception", "url": "https://arxiv.org/abs/2606.25877", "role": "dataset", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Wei et al. (2026)", "bibliographyText": "Wei et al. (2026) L. Wei, G. Khurana, S. Bhouri, W. Hong, Z. Xin, Q. Cong, W. Fan, Y. Xiang, and D. Zhang TacVerse: a multi-sensor dataset and benchmark for cross-sensor vision-based tactile perception . arXiv preprint arXiv:2606.25877 . External Links: 2606.25877 , Document Cited by: §VII-D .", "originalUrls": [ "https://dx.doi.org/10.48550/arXiv.2606.25877" ], "workId": "tacverse" }, { "number": 151, "key": "bib.bib195", "title": "Dexvla: vision-language model with plug-in diffusion expert for general robot control", "url": "https://arxiv.org/abs/2502.05855", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Wen et al. (2025)", "bibliographyText": "Wen et al. (2025) J. Wen, Y. Zhu, J. Li, Z. Tang, C. Shen, and F. Feng Dexvla: vision-language model with plug-in diffusion expert for general robot control . arXiv preprint arXiv:2502.05855 . Cited by: §III-A .", "originalUrls": [], "workId": "dexvla" }, { "number": 152, "key": "bib.bib35", "title": "Tactalign: human-to-robot policy transfer via tactile alignment", "url": "https://arxiv.org/html/2610.20134#bib.bib35", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Wi et al. (2025)", "bibliographyText": "Wi et al. (2025) Y. Wi, J. Yin, E. Xiang, A. Sharma, J. Malik, M. Mukadam, N. Fazeli, and T. Hellebrekers Tactalign: human-to-robot policy transfer via tactile alignment . Robotics: Science and Systems . Cited by: §III-A , §III-A , TABLE I , §VI-A , §VI-B , TABLE III .", "originalUrls": [] }, { "number": 153, "key": "bib.bib18", "title": "Model predictive path integral control using covariance variable importance sampling", "url": "https://arxiv.org/abs/1509.01149", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Williams et al. (2015)", "bibliographyText": "Williams et al. (2015) G. Williams, A. Aldrich, and E. Theodorou Model predictive path integral control using covariance variable importance sampling . arXiv preprint arXiv:1509.01149 . Cited by: §V .", "originalUrls": [] }, { "number": 154, "key": "bib.bib7", "title": "FreeTacMan: robot-free visuo-tactile data collection system for contact-rich manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib7", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Wu et al. (2026)", "bibliographyText": "Wu et al. (2026) L. Wu, C. Yu, J. Ren, L. Chen, Y. Jiang, R. Huang, G. Gu, and H. Li FreeTacMan: robot-free visuo-tactile data collection system for contact-rich manipulation . In 2026 IEEE International Conference on Robotics and Automation (ICRA) , External Links: 2506.01941 Cited by: §VII-D .", "originalUrls": [], "workId": "freetacman" }, { "number": 155, "key": "bib.bib64", "title": "Canonical representation and force-based pretraining of 3d tactile for dexterous visuo-tactile policy learning", "url": "https://arxiv.org/html/2610.20134#bib.bib64", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Wu et al. (2025a)", "bibliographyText": "Wu et al. (2025a) T. Wu, J. Li, J. Zhang, M. Wu, and H. Dong Canonical representation and force-based pretraining of 3d tactile for dexterous visuo-tactile policy learning . In 2025 IEEE International Conference on Robotics and Automation (ICRA) , pp. 6786–6792 . Cited by: §II-A .", "originalUrls": [], "workId": "canonical-3d-tactile" }, { "number": 156, "key": "bib.bib28", "title": "Tacdiffusion: force-domain diffusion policy for precise tactile manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib28", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Wu et al. (2025b)", "bibliographyText": "Wu et al. (2025b) Y. Wu, Z. Chen, F. Wu, L. Chen, L. Zhang, Z. Bing, A. Swikir, S. Haddadin, and A. Knoll Tacdiffusion: force-domain diffusion policy for precise tactile manipulation . In 2025 IEEE International Conference on Robotics and Automation (ICRA) , pp. 11831–11837 . Cited by: §III-C , §III-C , §III-C , §III-C , TABLE I , §VI-A , §VII-B .", "originalUrls": [], "workId": "tacdiffusion" }, { "number": 157, "key": "bib.bib97", "title": "Towards forceful robotic foundation models: a literature survey", "url": "https://arxiv.org/abs/2504.11827", "role": "survey", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Xie and Correll (2025)", "bibliographyText": "Xie and Correll (2025) W. Xie and N. Correll Towards forceful robotic foundation models: a literature survey . arXiv preprint arXiv:2504.11827 . Cited by: §I .", "originalUrls": [], "workId": "forceful-foundation-survey" }, { "number": 158, "key": "bib.bib100", "title": "Recent progress of tactile and force sensors for human–machine interaction", "url": "https://arxiv.org/html/2610.20134#bib.bib100", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Xu et al. (2023)", "bibliographyText": "Xu et al. (2023) J. Xu, J. Pan, T. Cui, S. Zhang, Y. Yang, and T. Ren Recent progress of tactile and force sensors for human–machine interaction . Sensors 23 ( 4 ), pp. 1868 . Cited by: §I .", "originalUrls": [] }, { "number": 159, "key": "bib.bib38", "title": "ExUMI: extensible robot teaching system with action-aware task-agnostic tactile representation", "url": "https://arxiv.org/html/2610.20134#bib.bib38", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Xu et al. (2025a)", "bibliographyText": "Xu et al. (2025a) Y. Xu, L. Wei, P. An, Q. Zhang, and Y. Li ExUMI: extensible robot teaching system with action-aware task-agnostic tactile representation . In Conference on Robot Learning (CoRL) , Cited by: §II-A , §III-A , §III-A , §III-A , §III-C , TABLE I , §VI-B .", "originalUrls": [] }, { "number": 160, "key": "bib.bib186", "title": "ETac: a lightweight and efficient tactile simulation framework for learning dexterous manipulation", "url": "https://arxiv.org/abs/2604.20295", "role": "reference", "status": "candidate", "note": "In-scope tactile dataset, benchmark, simulation, or world-model candidate. Original-source task scope and model-versus-policy role need review; no canonical identity or public release is inferred from this citation alone.", "sourceLabel": "Xu et al. (2026)", "bibliographyText": "Xu et al. (2026) Z. Xu, F. Zhao, X. Huang, and C. Xiao ETac: a lightweight and efficient tactile simulation framework for learning dexterous manipulation . arXiv preprint arXiv:2604.20295 . Cited by: §VI-C .", "originalUrls": [] }, { "number": 161, "key": "bib.bib20", "title": "LeTac-mpc: learning model predictive control for tactile-reactive grasping", "url": "https://arxiv.org/html/2610.20134#bib.bib20", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Xu and She (2024)", "bibliographyText": "Xu and She (2024) Z. Xu and Y. She LeTac-mpc: learning model predictive control for tactile-reactive grasping . IEEE Transactions on Robotics 40 , pp. 4376–4395 . Cited by: §I , §V , §V , §VII-B .", "originalUrls": [], "workId": "letac-mpc" }, { "number": 162, "key": "bib.bib53", "title": "UniT: data efficient tactile representation with generalization to unseen objects", "url": "https://arxiv.org/html/2610.20134#bib.bib53", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Xu et al. (2025b)", "bibliographyText": "Xu et al. (2025b) Z. Xu, R. Uppuluri, X. Zhang, C. Fitch, P. G. Crandall, W. Shou, D. Wang, and Y. She UniT: data efficient tactile representation with generalization to unseen objects . IEEE Robotics and Automation Letters . Cited by: §I , §II-A .", "originalUrls": [], "workId": "unit" }, { "number": 163, "key": "bib.bib13", "title": "Reactive diffusion policy: slow-fast visual-tactile policy learning for contact-rich manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib13", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Xue et al. (2025)", "bibliographyText": "Xue et al. (2025) H. Xue, J. Ren, W. Chen, G. Zhang, Y. Fang, G. Gu, H. Xu, and C. Lu Reactive diffusion policy: slow-fast visual-tactile policy learning for contact-rich manipulation . In Proceedings of Robotics: Science and Systems (RSS) , Cited by: §I , §III-C , §III-C , §III-C , TABLE I , §V , §VI-B , TABLE III , §VII-B .", "originalUrls": [], "workId": "reactive-diffusion-policy" }, { "number": 164, "key": "bib.bib8", "title": "Tactile Sim2Real without tactile simulation via bottlenecked latent reconstruction", "url": "https://arxiv.org/abs/2608.15897", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Yang et al. (2026)", "bibliographyText": "Yang et al. (2026) F. Yang, Y. Wi, J. Yu, N. Fazeli, and D. Berenson Tactile Sim2Real without tactile simulation via bottlenecked latent reconstruction . arXiv preprint arXiv:2608.15897 . External Links: 2608.15897 , Document Cited by: §VII-D .", "originalUrls": [ "https://dx.doi.org/10.48550/arXiv.2608.15897" ] }, { "number": 165, "key": "bib.bib57", "title": "Binding touch to everything: learning unified multimodal tactile representations", "url": "https://arxiv.org/html/2610.20134#bib.bib57", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Yang et al. (2024)", "bibliographyText": "Yang et al. (2024) F. Yang, C. Feng, Z. Chen, H. Park, D. Wang, Y. Dou, Z. Zeng, X. Chen, R. Gangopadhyay, A. Owens, et al. Binding touch to everything: learning unified multimodal tactile representations . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pp. 26340–26353 . Cited by: §I , §II-A , §II-C , §II-C , §II-C , §II-D , §VI-A , §VII-A .", "originalUrls": [], "workId": "unitouch" }, { "number": 166, "key": "bib.bib189", "title": "Touch and go: learning from human-collected vision and touch", "url": "https://arxiv.org/html/2610.20134#bib.bib189", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by exact normalized original title. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Yang et al. (2022)", "bibliographyText": "Yang et al. (2022) F. Yang, C. Ma, J. Zhang, J. Zhu, W. Yuan, and A. Owens Touch and go: learning from human-collected vision and touch . In Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track , Cited by: §II-A , §II-C .", "originalUrls": [], "workId": "touch-and-go" }, { "number": 167, "key": "bib.bib99", "title": "Recent progress of optical tactile sensors: a review", "url": "https://arxiv.org/html/2610.20134#bib.bib99", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Yao and Wang (2024)", "bibliographyText": "Yao and Wang (2024) N. Yao and S. Wang Recent progress of optical tactile sensors: a review . Optics & Laser Technology 176 , pp. 111040 . Cited by: §I .", "originalUrls": [] }, { "number": 168, "key": "bib.bib34", "title": "Visual-tactile pretraining and online multitask learning for humanlike manipulation dexterity", "url": "https://arxiv.org/html/2610.20134#bib.bib34", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Ye et al. (2026)", "bibliographyText": "Ye et al. (2026) Q. Ye, Q. Liu, S. Wang, J. Chen, Y. Cui, K. Jin, H. Chen, X. Cai, G. Li, and J. Chen Visual-tactile pretraining and online multitask learning for humanlike manipulation dexterity . Science Robotics 11 ( 110 ), pp. eady2869 . Cited by: §III-B , §III-B , §III-C , TABLE I , §VI-A .", "originalUrls": [] }, { "number": 169, "key": "bib.bib39", "title": "Learning in-hand translation using tactile skin with shear and normal force sensing", "url": "https://arxiv.org/html/2610.20134#bib.bib39", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Yin et al. (2025a)", "bibliographyText": "Yin et al. (2025a) J. Yin, H. Qi, J. Malik, J. Pikul, M. Yim, and T. Hellebrekers Learning in-hand translation using tactile skin with shear and normal force sensing . In 2025 IEEE International Conference on Robotics and Automation (ICRA) , pp. 5850–5856 . Cited by: §I , §III-B , §III-B , §III-B , §III-B , TABLE I , §VI-C , §VI-C , TABLE III .", "originalUrls": [], "workId": "tactile-skin-translation" }, { "number": 170, "key": "bib.bib27", "title": "Dexteritygen: foundation controller for unprecedented dexterity", "url": "https://arxiv.org/abs/2502.04307", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Yin et al. (2025b)", "bibliographyText": "Yin et al. (2025b) Z. Yin, C. Wang, L. Pineda, F. Hogan, K. Bodduluri, A. Sharma, P. Lancaster, I. Prasad, M. Kalakrishnan, J. Malik, et al. Dexteritygen: foundation controller for unprecedented dexterity . arXiv preprint arXiv:2502.04307 . Cited by: §III-C , §III-C , TABLE I , §VI .", "originalUrls": [] }, { "number": 171, "key": "bib.bib112", "title": "TeBi-llama: temporal binding foundation model for material property recognition via tactile sequence perception", "url": "https://arxiv.org/html/2610.20134#bib.bib112", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "You et al. (2026)", "bibliographyText": "You et al. (2026) H. You, T. Zhou, J. Wu, and J. Du TeBi-llama: temporal binding foundation model for material property recognition via tactile sequence perception . Journal of Construction Engineering and Management 152 ( 4 ), pp. 04026024 . Cited by: §I .", "originalUrls": [] }, { "number": 172, "key": "bib.bib93", "title": "Recent progress in tactile sensing and machine learning for texture perception in humanoid robotics", "url": "https://arxiv.org/html/2610.20134#bib.bib93", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Yu and Liu (2025)", "bibliographyText": "Yu and Liu (2025) L. Yu and D. Liu Recent progress in tactile sensing and machine learning for texture perception in humanoid robotics . Interdisciplinary Materials 4 ( 2 ), pp. 235–248 . Cited by: §I .", "originalUrls": [] }, { "number": 173, "key": "bib.bib45", "title": "Demonstrating the octopi-1.5 visual-tactile-language model", "url": "https://arxiv.org/abs/2507.09985", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Yu et al. (2025)", "bibliographyText": "Yu et al. (2025) S. Yu, K. Lin, and H. Soh Demonstrating the octopi-1.5 visual-tactile-language model . arXiv preprint arXiv:2507.09985 . Cited by: §II-C , TABLE II , §IV , §IV , §IV .", "originalUrls": [], "workId": "octopi-15" }, { "number": 174, "key": "bib.bib190", "title": "Octopi: object property reasoning with large tactile-language models", "url": "https://arxiv.org/abs/2405.02794", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Yu et al. (2024)", "bibliographyText": "Yu et al. (2024) S. Yu, K. Lin, A. Xiao, J. Duan, and H. Soh Octopi: object property reasoning with large tactile-language models . arXiv preprint arXiv:2405.02794 . Cited by: §II-C .", "originalUrls": [], "workId": "octopi" }, { "number": 175, "key": "bib.bib49", "title": "FTP-1: a generalist foundation tactile policy across tactile sensors for contact-rich manipulation", "url": "https://arxiv.org/abs/2606.13102", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Yuan et al. (2026)", "bibliographyText": "Yuan et al. (2026) C. Yuan, Z. Zhang, M. Zhou, W. Chen, Y. Wang, Z. Liu, D. Niu, S. Wang, H. Zhang, W. Zhang, et al. FTP-1: a generalist foundation tactile policy across tactile sensors for contact-rich manipulation . arXiv preprint arXiv:2606.13102 . Cited by: TABLE II , §IV , §IV , §IV , §VI-B , §VI-C , TABLE III , TABLE III , §VII-A , §VII-D .", "originalUrls": [], "workId": "ftp-1" }, { "number": 176, "key": "bib.bib139", "title": "Sigmoid loss for language image pre-training", "url": "https://arxiv.org/html/2610.20134#bib.bib139", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Zhai et al. (2023)", "bibliographyText": "Zhai et al. (2023) X. Zhai, B. Mustafa, A. Kolesnikov, and L. Beyer Sigmoid loss for language image pre-training . In Proceedings of the IEEE/CVF international conference on computer vision , pp. 11975–11986 . Cited by: §IV .", "originalUrls": [] }, { "number": 177, "key": "bib.bib127", "title": "GelStereo 2.0: an improved gelstereo sensor with multimedium refractive stereo calibration", "url": "https://arxiv.org/html/2610.20134#bib.bib127", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "Zhang et al. (2023)", "bibliographyText": "Zhang et al. (2023) C. Zhang, S. Cui, S. Wang, J. Hu, Y. Cai, R. Wang, and Y. Wang GelStereo 2.0: an improved gelstereo sensor with multimedium refractive stereo calibration . IEEE Transactions on Industrial Electronics 71 ( 7 ), pp. 7452–7462 . Cited by: §IV .", "originalUrls": [] }, { "number": 178, "key": "bib.bib46", "title": "Vtla: vision-tactile-language-action model with preference learning for insertion manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib46", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by exact normalized original title. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Zhang et al. (2026a)", "bibliographyText": "Zhang et al. (2026a) C. Zhang, P. Hao, X. Cao, X. Hao, S. Cui, and S. Wang Vtla: vision-tactile-language-action model with preference learning for insertion manipulation . Biomimetic Intelligence and Robotics , pp. 100333 . Cited by: TABLE II , §IV , §IV , §VI-C .", "originalUrls": [], "workId": "vtla" }, { "number": 179, "key": "bib.bib24", "title": "Visual-tactile learning of garment unfolding for robot-assisted dressing", "url": "https://arxiv.org/html/2610.20134#bib.bib24", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Zhang and Demiris (2023)", "bibliographyText": "Zhang and Demiris (2023) F. Zhang and Y. Demiris Visual-tactile learning of garment unfolding for robot-assisted dressing . IEEE Robotics and Automation Letters 8 ( 9 ), pp. 5512–5519 . Cited by: §V , §V .", "originalUrls": [] }, { "number": 180, "key": "bib.bib47", "title": "Tacvla: contact-aware tactile fusion for robust vision-language-action manipulation", "url": "https://arxiv.org/abs/2603.12665", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Zhang et al. (2026b)", "bibliographyText": "Zhang et al. (2026b) K. Zhang, H. Zhang, Z. Xu, Z. Zhang, M. R. I. Prince, X. Li, X. Han, Y. Zhou, A. Ajoudani, and Y. She Tacvla: contact-aware tactile fusion for robust vision-language-action manipulation . arXiv preprint arXiv:2603.12665 . Cited by: TABLE II , §IV , §IV .", "originalUrls": [], "workId": "tacvla" }, { "number": 181, "key": "bib.bib9", "title": "ReTouch: empowering contact-rich dexterous manipulation with online-refined tactile prediction", "url": "https://arxiv.org/abs/2608.01824", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Zhang et al. (2026c)", "bibliographyText": "Zhang et al. (2026c) S. Zhang, X. Zhang, Y. Shen, J. Deng, Y. Gao, S. Zhang, Y. Zhang, K. Long, J. Wu, J. Pan, Y. Li, and Y. Zhang ReTouch: empowering contact-rich dexterous manipulation with online-refined tactile prediction . arXiv preprint arXiv:2608.01824 . External Links: 2608.01824 , Document Cited by: §VII-C .", "originalUrls": [ "https://dx.doi.org/10.48550/arXiv.2608.01824" ], "workId": "retouch" }, { "number": 182, "key": "bib.bib94", "title": "Hardware technology of vision-based tactile sensor: a review", "url": "https://arxiv.org/html/2610.20134#bib.bib94", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Zhang et al. (2022)", "bibliographyText": "Zhang et al. (2022) S. Zhang, Z. Chen, Y. Gao, W. Wan, J. Shan, H. Xue, F. Sun, Y. Yang, and B. Fang Hardware technology of vision-based tactile sensor: a review . IEEE Sensors Journal 22 ( 22 ), pp. 21410–21427 . Cited by: §I .", "originalUrls": [] }, { "number": 183, "key": "bib.bib111", "title": "ContactWorld: what matters in vision-tactile world models for contact-rich manipulation", "url": "https://arxiv.org/abs/2606.13877", "role": "benchmark", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Zhang et al. (2026d)", "bibliographyText": "Zhang et al. (2026d) Z. Zhang, P. Zhou, K. Zhang, A. Desai, T. Amosa, D. Soleymanzadeh, J. Lei, M. Zheng, and Y. She ContactWorld: what matters in vision-tactile world models for contact-rich manipulation . arXiv preprint arXiv:2606.13877 . Cited by: §I , §VII-C .", "originalUrls": [], "workId": "contactworld" }, { "number": 184, "key": "bib.bib160", "title": "Settling the sample complexity of online reinforcement learning", "url": "https://arxiv.org/html/2610.20134#bib.bib160", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "Zhang et al. (2025)", "bibliographyText": "Zhang et al. (2025) Z. Zhang, Y. Chen, J. Lee, and S. S. Du Settling the sample complexity of online reinforcement learning . Journal of the ACM 72 ( 3 ), pp. 1–63 . Cited by: §III-B .", "originalUrls": [] }, { "number": 185, "key": "bib.bib54", "title": "Transferable tactile transformers for representation learning across diverse sensors and tasks", "url": "https://arxiv.org/abs/2406.13640", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Zhao et al. (2024)", "bibliographyText": "Zhao et al. (2024) J. Zhao, Y. Ma, L. Wang, and E. H. Adelson Transferable tactile transformers for representation learning across diverse sensors and tasks . arXiv preprint arXiv:2406.13640 . Cited by: §II-D , §II-D , §VI-A , §VI-B , TABLE III .", "originalUrls": [], "workId": "t3" }, { "number": 186, "key": "bib.bib116", "title": "Learning fine-grained bimanual manipulation with low-cost hardware", "url": "https://arxiv.org/abs/2304.13705", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Zhao et al. (2023)", "bibliographyText": "Zhao et al. (2023) T. Z. Zhao, V. Kumar, S. Levine, and C. Finn Learning fine-grained bimanual manipulation with low-cost hardware . arXiv preprint arXiv:2304.13705 . Cited by: §III-A , §III-A , §III-A .", "originalUrls": [], "workId": "act" }, { "number": 187, "key": "bib.bib41", "title": "Vitac-tracing: visual-tactile imitation learning of deformable object tracing", "url": "https://arxiv.org/abs/2603.18784", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Zhao et al. (2026a)", "bibliographyText": "Zhao et al. (2026a) Y. Zhao, H. Luo, Y. Wang, E. S. Papastavridis, Y. Demiris, and S. Luo Vitac-tracing: visual-tactile imitation learning of deformable object tracing . arXiv preprint arXiv:2603.18784 . Cited by: §II-B , §III-A , §III-A , §III-C , TABLE I .", "originalUrls": [], "workId": "vitac-tracing" }, { "number": 188, "key": "bib.bib67", "title": "Touch begins where vision ends: generalizable policies for contact-rich manipulation", "url": "https://arxiv.org/abs/2506.13762", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Zhao et al. (2025a)", "bibliographyText": "Zhao et al. (2025a) Z. Zhao, S. Haldar, J. Cui, L. Pinto, and R. Bhirangi Touch begins where vision ends: generalizable policies for contact-rich manipulation . arXiv preprint arXiv:2506.13762 . Cited by: §II-B , §III-A , §III-A , TABLE I .", "originalUrls": [], "workId": "vital-local" }, { "number": 189, "key": "bib.bib75", "title": "Embedding high-resolution touch across robotic hands enables adaptive human-like grasping", "url": "https://arxiv.org/html/2610.20134#bib.bib75", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Zhao et al. (2025b)", "bibliographyText": "Zhao et al. (2025b) Z. Zhao, W. Li, Y. Li, T. Liu, B. Li, M. Wang, K. Du, H. Liu, Y. Zhu, Q. Wang, et al. Embedding high-resolution touch across robotic hands enables adaptive human-like grasping . Nature Machine Intelligence 7 ( 6 ), pp. 889–900 . Cited by: §I , §VI-B .", "originalUrls": [] }, { "number": 190, "key": "bib.bib15", "title": "Tac-Man: tactile-informed prior-free manipulation of articulated objects", "url": "https://arxiv.org/html/2610.20134#bib.bib15", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "Zhao et al. (2025c)", "bibliographyText": "Zhao et al. (2025c) Z. Zhao, Y. Li, W. Li, Z. Qi, L. Ruan, Y. Zhu, and K. Althoefer Tac-Man: tactile-informed prior-free manipulation of articulated objects . IEEE Transactions on Robotics (T-RO) 41 , pp. 538–557 . Cited by: §V , §V , §VI-A .", "originalUrls": [], "workId": "tac-man" }, { "number": 191, "key": "bib.bib16", "title": "TacMan-Turbo: proactive tactile control for robust and efficient articulated object manipulation", "url": "https://arxiv.org/html/2610.20134#bib.bib16", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by exact normalized original title. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "Zhao et al. (2026b)", "bibliographyText": "Zhao et al. (2026b) Z. Zhao, Z. Qi, Y. Li, L. Cui, Z. Han, L. Ruan, and Y. Zhu TacMan-Turbo: proactive tactile control for robust and efficient articulated object manipulation . IEEE Transactions on Automation Science and Engineering (T-ASE) . Cited by: §I , §V , §V , §VI-A .", "originalUrls": [], "workId": "tacman-turbo" }, { "number": 192, "key": "bib.bib51", "title": "TouchWorld: a predictive and reactive tactile foundation model for dexterous manipulation", "url": "https://arxiv.org/abs/2607.07287", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "Zhou et al. (2026)", "bibliographyText": "Zhou et al. (2026) J. Zhou, F. Hong, Y. Li, Y. Zhao, Y. Cen, Z. Liu, J. Huang, Z. Chen, R. Zhang, W. Zhu, et al. TouchWorld: a predictive and reactive tactile foundation model for dexterous manipulation . arXiv preprint arXiv:2607.07287 . Cited by: TABLE II , §IV , §IV , §VI-C , §VII-B , §VII-C .", "originalUrls": [], "workId": "touchworld" }, { "number": 193, "key": "bib.bib153", "title": "Let robots feel your touch: visuo-tactile cortical alignment for embodied mirror resonance", "url": "https://arxiv.org/abs/2605.14571", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "Zhu et al. (2026a)", "bibliographyText": "Zhu et al. (2026a) T. Zhu, N. An, R. Wang, J. Gao, Q. Luo, A. Li, and G. Zhou Let robots feel your touch: visuo-tactile cortical alignment for embodied mirror resonance . arXiv preprint arXiv:2605.14571 . Cited by: §VI-B , §VI .", "originalUrls": [] }, { "number": 194, "key": "bib.bib36", "title": "Touch in the wild: learning fine-grained manipulation with a portable visuo-tactile gripper", "url": "https://arxiv.org/html/2610.20134#bib.bib36", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "Zhu et al. (2026b)", "bibliographyText": "Zhu et al. (2026b) X. Zhu, B. Huang, and Y. Li Touch in the wild: learning fine-grained manipulation with a portable visuo-tactile gripper . Advances in Neural Information Processing Systems 38 , pp. 153783–153812 . Cited by: §III-C , §III-C , §III-C , TABLE I , §VI-A , §VI-A , §VI-B , TABLE III , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 195, "key": "bib.bib104", "title": "Recent advances in resistive sensor technology for tactile perception: a review", "url": "https://arxiv.org/html/2610.20134#bib.bib104", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "Zhu et al. (2022)", "bibliographyText": "Zhu et al. (2022) Y. Zhu, Y. Liu, Y. Sun, Y. Zhang, and G. Ding Recent advances in resistive sensor technology for tactile perception: a review . IEEE sensors journal 22 ( 16 ), pp. 15635–15649 . Cited by: §I .", "originalUrls": [] } ] }, { "id": "tactile-fusion-survey-references", "workId": "tactile-fusion-survey", "label": "Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms", "url": "https://arxiv.org/abs/2605.17336", "referencesUrl": "https://arxiv.org/html/2605.17336#bib", "corpusUrl": "https://arxiv.org/html/2605.17336", "snapshot": "Original bibliography, manual dispositions and exact original-source late-batch reconciliation, 2026-10-17", "scope": "Complete original bibliography with explicit identity matches and individually reviewed title-level dispositions. Indexed means a reviewed canonical record exists; background and adjacent resources are not counted as method reviews. Candidate means original-source review is still pending. No fuzzy identity matching or containing-survey fallback matching is used.", "entries": [ { "number": 1, "key": "bib.bib72", "title": "Multimodal visual-tactile representation learning through self-supervised contrastive pre-training", "url": "https://arxiv.org/html/2605.17336#bib.bib72", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[1]", "bibliographyText": "[1] V. Dave, F. Lygerakis, and E. Rueckert (2024) Multimodal visual-tactile representation learning through self-supervised contrastive pre-training . In 2024 IEEE International Conference on Robotics and Automation (ICRA) , pp. 8013–8020 . Cited by: §I , §II-A , §II-B5 , §IV-A2 , §IV-A3 , TABLE II , §VI-A1 , §VI-A1 , TABLE III , TABLE III .", "originalUrls": [], "workId": "mvitac" }, { "number": 2, "key": "bib.bib44", "title": "Binding touch to everything: learning unified multimodal tactile representations", "url": "https://arxiv.org/html/2605.17336#bib.bib44", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[2]", "bibliographyText": "[2] F. Yang, C. Feng, Z. Chen, H. Park, D. Wang, Y. Dou, Z. Zeng, X. Chen, R. Gangopadhyay, A. Owens, et al. (2024) Binding touch to everything: learning unified multimodal tactile representations . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pp. 26340–26353 . Cited by: §I , §II-A , §II-B5 , §IV-A2 , §IV-A3 , §IV-A4 , §IV-B1 , §IV-B2 , §IV-B2 , TABLE II , §VI-A1 , §VI-A1 , §VI-A2 , §VI-B1 , §VI-B2 , §VI-C1 , TABLE III , TABLE III , TABLE III , TABLE III .", "originalUrls": [], "workId": "unitouch" }, { "number": 3, "key": "bib.bib45", "title": "A touch, vision, and language dataset for multimodal alignment", "url": "https://arxiv.org/abs/2402.13232", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[3]", "bibliographyText": "[3] L. Fu, G. Datta, H. Huang, W. C. Panitch, J. Drake, J. Ortiz, M. Mukadam, M. Lambeta, R. Calandra, and K. Goldberg (2024) A touch, vision, and language dataset for multimodal alignment . arXiv preprint arXiv:2402.13232 . Cited by: §I , §I , §II-A , §II-B5 , §III-C , TABLE I , §IV-A2 , §IV-B2 , TABLE II , §VI-A1 , §VI-A2 , TABLE III , TABLE III .", "originalUrls": [], "workId": "tvl" }, { "number": 4, "key": "bib.bib109", "title": "Towards comprehensive multimodal perception: introducing the touch-language-vision dataset", "url": "https://arxiv.org/abs/2403.09813", "role": "reference", "status": "adjacent-resource", "note": "Supporting tactile/multisensory dataset, calibration labels, or general robot data corpus; no new executable action policy inferred from this bibliography citation. Resource details remain independently unreviewed here.", "sourceLabel": "[4]", "bibliographyText": "[4] N. Cheng, Y. Li, J. Gao, B. Fang, J. Xu, and W. Han (2024) Towards comprehensive multimodal perception: introducing the touch-language-vision dataset . arXiv preprint arXiv:2403.09813 . Cited by: §I , §II-A , §II-B5 , §III-C , TABLE I , §IV-A2 , TABLE II , §VI-A1 , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 5, "key": "bib.bib105", "title": "CLTP: contrastive language-tactile pre-training for 3d contact geometry understanding", "url": "https://arxiv.org/abs/2505.08194", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[5]", "bibliographyText": "[5] W. Ma, X. Cao, Y. Zhang, C. Zhang, S. Yang, P. Hao, B. Fang, Y. Cai, S. Cui, and S. Wang (2025) CLTP: contrastive language-tactile pre-training for 3d contact geometry understanding . arXiv preprint arXiv:2505.08194 . Cited by: §I , §II-A , §II-B5 , §III-B , TABLE I , §IV-A2 , §IV-B2 , TABLE II , §VI-A1 , §VI-A1 , §VI-A2 , TABLE III , TABLE III , TABLE III .", "originalUrls": [], "workId": "cltp" }, { "number": 6, "key": "bib.bib41", "title": "Touch100k: a large-scale touch-language-vision dataset for touch-centric multimodal representation", "url": "https://arxiv.org/html/2605.17336#bib.bib41", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[6]", "bibliographyText": "[6] N. Cheng, J. Xu, C. Guan, J. Gao, W. Wang, Y. Li, F. Meng, J. Zhou, B. Fang, and W. Han (2025) Touch100k: a large-scale touch-language-vision dataset for touch-centric multimodal representation . Information Fusion , pp. 103305 . Cited by: §I , §II-A , §II-B5 , §III-C , TABLE I , §IV-A2 , §IV-A3 , TABLE II , TABLE II , §VI-A1 , §VI-B2 , TABLE III , TABLE III .", "originalUrls": [], "workId": "tlv-link" }, { "number": 7, "key": "bib.bib96", "title": "Vtla: vision-tactile-language-action model with preference learning for insertion manipulation", "url": "https://arxiv.org/abs/2505.09577", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[7]", "bibliographyText": "[7] C. Zhang, P. Hao, X. Cao, X. Hao, S. Cui, and S. Wang (2025) Vtla: vision-tactile-language-action model with preference learning for insertion manipulation . arXiv preprint arXiv:2505.09577 . Cited by: §I , §II-A , §II-B5 , §IV-C2 , TABLE II , §VI-A3 , §VI-B3 , TABLE III , TABLE III , TABLE III .", "originalUrls": [], "workId": "vtla" }, { "number": 8, "key": "bib.bib104", "title": "Universal visuo-tactile video understanding for embodied interaction", "url": "https://arxiv.org/abs/2505.22566", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[8]", "bibliographyText": "[8] Y. Xie, M. Li, S. Li, X. Li, G. Chen, F. Ma, F. R. Yu, and W. Ding (2025) Universal visuo-tactile video understanding for embodied interaction . arXiv preprint arXiv:2505.22566 . Cited by: §I , §II-A , §II-B5 , §III-C , TABLE I , §IV-B2 , TABLE II , §VI-A2 , TABLE III .", "originalUrls": [], "workId": "vtv-llm" }, { "number": 9, "key": "bib.bib117", "title": "Anytouch: learning unified static-dynamic representation across multiple visuo-tactile sensors", "url": "https://arxiv.org/abs/2502.12191", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[9]", "bibliographyText": "[9] R. Feng, J. Hu, W. Xia, T. Gao, A. Shen, Y. Sun, B. Fang, and D. Hu (2025) Anytouch: learning unified static-dynamic representation across multiple visuo-tactile sensors . arXiv preprint arXiv:2502.12191 . Cited by: §I , §II-A , §II-B5 , §III-A , TABLE I , §IV-A2 , §IV-A3 , §IV-C1 , TABLE II , §VI-A1 , §VI-B3 , TABLE III , TABLE III .", "originalUrls": [], "workId": "anytouch" }, { "number": 10, "key": "bib.bib1", "title": "Vitac: feature sharing between vision and tactile sensing for cloth texture recognition", "url": "https://arxiv.org/html/2605.17336#bib.bib1", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[10]", "bibliographyText": "[10] S. Luo, W. Yuan, E. Adelson, A. G. Cohn, and R. Fuentes (2018) Vitac: feature sharing between vision and tactile sensing for cloth texture recognition . In 2018 IEEE International Conference on Robotics and Automation (ICRA) , pp. 2722–2727 . Cited by: §I , §IV-A2 , TABLE II , §VI-A1 , §VI-B1 , TABLE III .", "originalUrls": [] }, { "number": 11, "key": "bib.bib37", "title": "Can vision feel touch? tactile-aware visual grasping for transparent objects", "url": "https://arxiv.org/html/2605.17336#bib.bib37", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[11]", "bibliographyText": "[11] L. Tong, K. Qian, Z. Yue, and S. Luo (2025) Can vision feel touch? tactile-aware visual grasping for transparent objects . IEEE Transactions on Circuits and Systems for Video Technology . Cited by: §I , §IV-C1 , TABLE II , §VI-A3 , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 12, "key": "bib.bib114", "title": "Surformer v1: transformer-based surface classification using tactile and vision features", "url": "https://arxiv.org/html/2605.17336#bib.bib114", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[12]", "bibliographyText": "[12] M. Kansana, E. Hossain, S. Rahimi, and N. Amiri Golilarz (2025) Surformer v1: transformer-based surface classification using tactile and vision features . Information 16 ( 10 ), pp. 839 . Cited by: §I , §IV-A2 , TABLE II .", "originalUrls": [] }, { "number": 13, "key": "bib.bib107", "title": "RA-touch: retrieval-augmented touch understanding with enriched visual data", "url": "https://arxiv.org/html/2605.17336#bib.bib107", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by exact normalized original title. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[13]", "bibliographyText": "[13] Y. Cho, H. Kim, S. Kim, Y. Zhang, Y. Choi, and S. Hong (2025) RA-touch: retrieval-augmented touch understanding with enriched visual data . In Proceedings of the 33rd ACM International Conference on Multimedia , pp. 1288–1297 . Cited by: §I , §III-C , TABLE I , §IV-A2 , §IV-B2 , TABLE II , §VI-A1 , §VI-A2 , TABLE III , TABLE III , TABLE III , TABLE III .", "originalUrls": [], "workId": "ra-touch" }, { "number": 14, "key": "bib.bib18", "title": "A survey of deep learning and its applications: a new paradigm to machine learning", "url": "https://arxiv.org/html/2605.17336#bib.bib18", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[14]", "bibliographyText": "[14] S. Dargan, M. Kumar, M. R. Ayyagari, and G. Kumar (2020) A survey of deep learning and its applications: a new paradigm to machine learning . Archives of computational methods in engineering 27 ( 4 ), pp. 1071–1092 . Cited by: §I .", "originalUrls": [] }, { "number": 15, "key": "bib.bib26", "title": "Attention is all you need", "url": "https://arxiv.org/html/2605.17336#bib.bib26", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[15]", "bibliographyText": "[15] A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin (2017) Attention is all you need . Advances in neural information processing systems 30 . Cited by: §I , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II .", "originalUrls": [] }, { "number": 16, "key": "bib.bib27", "title": "A survey of large language models", "url": "https://arxiv.org/abs/2303.18223", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[16]", "bibliographyText": "[16] W. X. Zhao, K. Zhou, J. Li, T. Tang, X. Wang, Y. Hou, Y. Min, B. Zhang, J. Zhang, Z. Dong, et al. (2023) A survey of large language models . arXiv preprint arXiv:2303.18223 1 ( 2 ). Cited by: §I .", "originalUrls": [] }, { "number": 17, "key": "bib.bib19", "title": "Imagebind: one embedding space to bind them all", "url": "https://arxiv.org/html/2605.17336#bib.bib19", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[17]", "bibliographyText": "[17] R. Girdhar, A. El-Nouby, Z. Liu, M. Singh, K. V. Alwala, A. Joulin, and I. Misra (2023) Imagebind: one embedding space to bind them all . In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pp. 15180–15190 . Cited by: §I .", "originalUrls": [] }, { "number": 18, "key": "bib.bib62", "title": "Transformer in touch: a survey", "url": "https://arxiv.org/abs/2405.12779", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[18]", "bibliographyText": "[18] J. Gao, N. Cheng, B. Fang, and W. Han (2024) Transformer in touch: a survey . arXiv preprint arXiv:2405.12779 . Cited by: §I .", "originalUrls": [] }, { "number": 19, "key": "bib.bib61", "title": "Tactile data generation and applications based on visuo-tactile sensors: a review", "url": "https://arxiv.org/html/2605.17336#bib.bib61", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[19]", "bibliographyText": "[19] Y. Sun, N. Cheng, S. Zhang, W. Li, L. Yang, S. Cui, H. Liu, F. Sun, J. Zhang, D. Guo, et al. (2025) Tactile data generation and applications based on visuo-tactile sensors: a review . Information Fusion 121 , pp. 103162 . Cited by: §I .", "originalUrls": [] }, { "number": 20, "key": "bib.bib34", "title": "Deep residual learning for image recognition", "url": "https://arxiv.org/html/2605.17336#bib.bib34", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[20]", "bibliographyText": "[20] K. He, X. Zhang, S. Ren, and J. Sun (2016) Deep residual learning for image recognition . In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 770–778 . Cited by: §II-B1 , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II .", "originalUrls": [] }, { "number": 21, "key": "bib.bib35", "title": "An image is worth 16x16 words: transformers for image recognition at scale", "url": "https://arxiv.org/abs/2010.11929", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[21]", "bibliographyText": "[21] A. Dosovitskiy (2020) An image is worth 16x16 words: transformers for image recognition at scale . arXiv preprint arXiv:2010.11929 . Cited by: §II-B1 , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II .", "originalUrls": [] }, { "number": 22, "key": "bib.bib36", "title": "Bert: pre-training of deep bidirectional transformers for language understanding", "url": "https://arxiv.org/html/2605.17336#bib.bib36", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[22]", "bibliographyText": "[22] J. Devlin, M. Chang, K. Lee, and K. Toutanova (2019) Bert: pre-training of deep bidirectional transformers for language understanding . In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers) , pp. 4171–4186 . Cited by: §II-B1 , TABLE II , TABLE II , TABLE II , TABLE II .", "originalUrls": [] }, { "number": 23, "key": "bib.bib33", "title": "Learning transferable visual models from natural language supervision", "url": "https://arxiv.org/html/2605.17336#bib.bib33", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[23]", "bibliographyText": "[23] A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al. (2021) Learning transferable visual models from natural language supervision . In International conference on machine learning , pp. 8748–8763 . Cited by: §II-B1 , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II .", "originalUrls": [] }, { "number": 24, "key": "bib.bib73", "title": "Recent progress in pressure and temperature tactile sensors: principle, classification, integration and outlook", "url": "https://arxiv.org/html/2605.17336#bib.bib73", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[24]", "bibliographyText": "[24] J. Yu, K. Zhang, and Y. Deng (2021) Recent progress in pressure and temperature tactile sensors: principle, classification, integration and outlook . Soft Science 1 ( 1 ), pp. N–A . Cited by: §II-B2 .", "originalUrls": [] }, { "number": 25, "key": "bib.bib101", "title": "Classification of vision-based tactile sensors: a review", "url": "https://arxiv.org/html/2605.17336#bib.bib101", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[25]", "bibliographyText": "[25] H. Li, Y. Lin, C. Lu, M. Yang, E. Psomopoulou, and N. F. Lepora (2025) Classification of vision-based tactile sensors: a review . IEEE Sensors Journal . Cited by: §II-B2 .", "originalUrls": [] }, { "number": 26, "key": "bib.bib100", "title": "Tactile sensors: a review", "url": "https://arxiv.org/html/2605.17336#bib.bib100", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[26]", "bibliographyText": "[26] M. Meribout, N. A. Takele, O. Derege, N. Rifiki, M. El Khalil, V. Tiwari, and J. Zhong (2024) Tactile sensors: a review . Measurement 238 , pp. 115332 . Cited by: §II-B2 .", "originalUrls": [] }, { "number": 27, "key": "bib.bib98", "title": "Recent progresses on flexible tactile sensors", "url": "https://arxiv.org/html/2605.17336#bib.bib98", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[27]", "bibliographyText": "[27] Y. Wan, Y. Wang, and C. F. Guo (2017) Recent progresses on flexible tactile sensors . Materials Today Physics 1 , pp. 61–73 . Cited by: §II-B2 .", "originalUrls": [] }, { "number": 28, "key": "bib.bib99", "title": "A review of tactile information: perception and action through touch", "url": "https://arxiv.org/html/2605.17336#bib.bib99", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[28]", "bibliographyText": "[28] Q. Li, O. Kroemer, Z. Su, F. F. Veiga, M. Kaboli, and H. J. Ritter (2020) A review of tactile information: perception and action through touch . IEEE Transactions on Robotics 36 ( 6 ), pp. 1619–1634 . Cited by: §II-B3 .", "originalUrls": [] }, { "number": 29, "key": "bib.bib97", "title": "Biomimetic tactile sensors and signal processing with spike trains: a review", "url": "https://arxiv.org/html/2605.17336#bib.bib97", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[29]", "bibliographyText": "[29] Z. Yi, Y. Zhang, and J. Peters (2018) Biomimetic tactile sensors and signal processing with spike trains: a review . Sensors and Actuators A: Physical 269 , pp. 41–52 . Cited by: §II-B3 .", "originalUrls": [] }, { "number": 30, "key": "bib.bib23", "title": "Gelsight: high-resolution robot tactile sensors for estimating geometry and force", "url": "https://arxiv.org/html/2605.17336#bib.bib23", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[30]", "bibliographyText": "[30] W. Yuan, S. Dong, and E. H. Adelson (2017) Gelsight: high-resolution robot tactile sensors for estimating geometry and force . Sensors 17 ( 12 ), pp. 2762 . Cited by: §II-B4 .", "originalUrls": [] }, { "number": 31, "key": "bib.bib25", "title": "Digit: a novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation", "url": "https://arxiv.org/html/2605.17336#bib.bib25", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[31]", "bibliographyText": "[31] M. Lambeta, P. Chou, S. Tian, B. Yang, B. Maloon, V. R. Most, D. Stroud, R. Santos, A. Byagowi, G. Kammerer, et al. (2020) Digit: a novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation . IEEE Robotics and Automation Letters 5 ( 3 ), pp. 3838–3845 . Cited by: §II-B4 .", "originalUrls": [] }, { "number": 32, "key": "bib.bib22", "title": "Tac3D: a novel vision-based tactile sensor for measuring forces distribution and estimating friction coefficient distribution", "url": "https://arxiv.org/abs/2202.06211", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[32]", "bibliographyText": "[32] L. Zhang, Y. Wang, and Y. Jiang (2022) Tac3D: a novel vision-based tactile sensor for measuring forces distribution and estimating friction coefficient distribution . arXiv preprint arXiv:2202.06211 . Cited by: §II-B4 .", "originalUrls": [] }, { "number": 33, "key": "bib.bib71", "title": "Gelstereo 2.0: an improved gelstereo sensor with multimedium refractive stereo calibration", "url": "https://arxiv.org/html/2605.17336#bib.bib71", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[33]", "bibliographyText": "[33] C. Zhang, S. Cui, S. Wang, J. Hu, Y. Cai, R. Wang, and Y. Wang (2023) Gelstereo 2.0: an improved gelstereo sensor with multimedium refractive stereo calibration . IEEE Transactions on Industrial Electronics 71 ( 7 ), pp. 7452–7462 . Cited by: §II-B4 .", "originalUrls": [] }, { "number": 34, "key": "bib.bib29", "title": "Gelslim 3.0: high-resolution measurement of shape, force and slip in a compact tactile-sensing finger", "url": "https://arxiv.org/html/2605.17336#bib.bib29", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[34]", "bibliographyText": "[34] I. H. Taylor, S. Dong, and A. Rodriguez (2022) Gelslim 3.0: high-resolution measurement of shape, force and slip in a compact tactile-sensing finger . In 2022 International Conference on Robotics and Automation (ICRA) , pp. 10781–10787 . Cited by: §II-B4 .", "originalUrls": [] }, { "number": 35, "key": "bib.bib30", "title": "Omnitact: a multi-directional high-resolution touch sensor", "url": "https://arxiv.org/html/2605.17336#bib.bib30", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[35]", "bibliographyText": "[35] A. Padmanabha, F. Ebert, S. Tian, R. Calandra, C. Finn, and S. Levine (2020) Omnitact: a multi-directional high-resolution touch sensor . In 2020 IEEE International Conference on Robotics and Automation (ICRA) , pp. 618–624 . Cited by: §II-B4 .", "originalUrls": [] }, { "number": 36, "key": "bib.bib28", "title": "Seeing through your skin: recognizing objects with a novel visuotactile sensor", "url": "https://arxiv.org/html/2605.17336#bib.bib28", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[36]", "bibliographyText": "[36] F. R. Hogan, M. Jenkin, S. Rezaei-Shoshtari, Y. Girdhar, D. Meger, and G. Dudek (2021) Seeing through your skin: recognizing objects with a novel visuotactile sensor . In Proceedings of the IEEE/CVF winter conference on applications of computer vision , pp. 1218–1227 . Cited by: §II-B4 .", "originalUrls": [] }, { "number": 37, "key": "bib.bib74", "title": "Multimodal alignment and fusion: a survey", "url": "https://arxiv.org/abs/2411.17040", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[37]", "bibliographyText": "[37] S. Li and H. Tang (2024) Multimodal alignment and fusion: a survey . arXiv preprint arXiv:2411.17040 . Cited by: §II-B5 .", "originalUrls": [] }, { "number": 38, "key": "bib.bib2", "title": "A survey on multimodal large language models", "url": "https://arxiv.org/html/2605.17336#bib.bib2", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[38]", "bibliographyText": "[38] S. Yin, C. Fu, S. Zhao, K. Li, X. Sun, T. Xu, and E. Chen (2024) A survey on multimodal large language models . National Science Review 11 ( 12 ), pp. nwae403 . Cited by: §II-B5 .", "originalUrls": [] }, { "number": 39, "key": "bib.bib106", "title": "VHTformer: a joint query perception method for visual-haptic-textual information based on transformer", "url": "https://arxiv.org/html/2605.17336#bib.bib106", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[39]", "bibliographyText": "[39] L. Li, G. Chen, H. Wang, B. Li, B. Wang, Z. Yi, and C. Zhao (2025) VHTformer: a joint query perception method for visual-haptic-textual information based on transformer . Applied Soft Computing , pp. 113529 . Cited by: §II-B5 , §IV-A1 , TABLE II .", "originalUrls": [] }, { "number": 40, "key": "bib.bib59", "title": "Visual–tactile fusion for object recognition", "url": "https://arxiv.org/html/2605.17336#bib.bib59", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[40]", "bibliographyText": "[40] H. Liu, Y. Yu, F. Sun, and J. Gu (2016) Visual–tactile fusion for object recognition . IEEE Transactions on Automation Science and Engineering 14 ( 2 ), pp. 996–1008 . Cited by: §III-A , TABLE I , §IV-A1 , TABLE II .", "originalUrls": [] }, { "number": 41, "key": "bib.bib52", "title": "The feeling of success: does touch sensing help predict grasp outcomes?", "url": "https://arxiv.org/abs/1710.05512", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[41]", "bibliographyText": "[41] R. Calandra, A. Owens, M. Upadhyaya, W. Yuan, J. Lin, E. H. Adelson, and S. Levine (2017) The feeling of success: does touch sensing help predict grasp outcomes? . arXiv preprint arXiv:1710.05512 . Cited by: §III-A , TABLE I , §IV-A3 , TABLE II , §VI-A1 , TABLE III .", "originalUrls": [] }, { "number": 42, "key": "bib.bib68", "title": "Connecting look and feel: associating the visual and tactile properties of physical materials", "url": "https://arxiv.org/html/2605.17336#bib.bib68", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[42]", "bibliographyText": "[42] W. Yuan, S. Wang, S. Dong, and E. Adelson (2017) Connecting look and feel: associating the visual and tactile properties of physical materials . In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 5580–5588 . Cited by: §III-A , TABLE I , §IV-A4 , TABLE II .", "originalUrls": [] }, { "number": 43, "key": "bib.bib57", "title": "More than a feeling: learning to grasp and regrasp using vision and touch", "url": "https://arxiv.org/html/2605.17336#bib.bib57", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[43]", "bibliographyText": "[43] R. Calandra, A. Owens, D. Jayaraman, J. Lin, W. Yuan, J. Malik, E. H. Adelson, and S. Levine (2018) More than a feeling: learning to grasp and regrasp using vision and touch . IEEE Robotics and Automation Letters 3 ( 4 ), pp. 3300–3307 . Cited by: §III-A , TABLE I , §IV-A3 , §IV-C1 , TABLE II , §VI-A3 , §VI-B3 , TABLE III .", "originalUrls": [], "workId": "more-than-a-feeling" }, { "number": 44, "key": "bib.bib49", "title": "Multimodal grasp data set: a novel visual–tactile data set for robotic manipulation", "url": "https://arxiv.org/html/2605.17336#bib.bib49", "role": "reference", "status": "adjacent-resource", "note": "Supporting tactile/multisensory dataset, calibration labels, or general robot data corpus; no new executable action policy inferred from this bibliography citation. Resource details remain independently unreviewed here.", "sourceLabel": "[44]", "bibliographyText": "[44] T. Wang, C. Yang, F. Kirchner, P. Du, F. Sun, and B. Fang (2019) Multimodal grasp data set: a novel visual–tactile data set for robotic manipulation . International Journal of Advanced Robotic Systems 16 ( 1 ), pp. 1729881418821571 . Cited by: §III-A , TABLE I .", "originalUrls": [] }, { "number": 45, "key": "bib.bib47", "title": "Connecting touch and vision via cross-modal prediction", "url": "https://arxiv.org/html/2605.17336#bib.bib47", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "[45]", "bibliographyText": "[45] Y. Li, J. Zhu, R. Tedrake, and A. Torralba (2019) Connecting touch and vision via cross-modal prediction . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pp. 10609–10618 . Cited by: §III-A , TABLE I , §IV-B1 , TABLE II , §VI-A2 , §VI-B1 , §VI-B2 , TABLE III .", "originalUrls": [] }, { "number": 46, "key": "bib.bib43", "title": "Touch and go: learning from human-collected vision and touch", "url": "https://arxiv.org/abs/2211.12498", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[46]", "bibliographyText": "[46] F. Yang, C. Ma, J. Zhang, J. Zhu, W. Yuan, and A. Owens (2022) Touch and go: learning from human-collected vision and touch . arXiv preprint arXiv:2211.12498 . Cited by: §III-A , TABLE I , §IV-A2 , §IV-A3 , §IV-B1 , TABLE II , §VI-A2 , §VI-B1 , §VI-C1 , TABLE III .", "originalUrls": [], "workId": "touch-and-go" }, { "number": 47, "key": "bib.bib113", "title": "Controllable visual-tactile synthesis", "url": "https://arxiv.org/html/2605.17336#bib.bib113", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "[47]", "bibliographyText": "[47] R. Gao, W. Yuan, and J. Zhu (2023) Controllable visual-tactile synthesis . In Proceedings of the IEEE/CVF International Conference on Computer Vision , pp. 7040–7052 . Cited by: §III-A , TABLE I .", "originalUrls": [] }, { "number": 48, "key": "bib.bib110", "title": "Learning to jointly understand visual and tactile signals", "url": "https://arxiv.org/html/2605.17336#bib.bib110", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "[48]", "bibliographyText": "[48] Y. Li, Y. Du, C. Liu, F. Williams, M. Foshey, B. Eckart, J. Kautz, J. B. Tenenbaum, A. Torralba, and W. Matusik (2023) Learning to jointly understand visual and tactile signals . In The Twelfth International Conference on Learning Representations , Cited by: §III-A , TABLE I , §IV-B1 , TABLE II .", "originalUrls": [] }, { "number": 49, "key": "bib.bib116", "title": "Touch in the wild: learning fine-grained manipulation with a portable visuo-tactile gripper", "url": "https://arxiv.org/abs/2507.15062", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[49]", "bibliographyText": "[49] X. Zhu, B. Huang, and Y. Li (2025) Touch in the wild: learning fine-grained manipulation with a portable visuo-tactile gripper . arXiv preprint arXiv:2507.15062 . Cited by: §III-A , TABLE I , §IV-C1 , TABLE II , §V-B , §V-D , §VI-B2 , TABLE III .", "originalUrls": [] }, { "number": 50, "key": "bib.bib118", "title": "Octopi: object property reasoning with large tactile-language models", "url": "https://arxiv.org/abs/2405.02794", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[50]", "bibliographyText": "[50] S. Yu, K. Lin, A. Xiao, J. Duan, and H. Soh (2024) Octopi: object property reasoning with large tactile-language models . arXiv preprint arXiv:2405.02794 . Cited by: §III-B , TABLE I , §IV-A2 , TABLE II , TABLE II .", "originalUrls": [], "workId": "octopi" }, { "number": 51, "key": "bib.bib56", "title": "SToLa: self-adaptive touch-language framework with tactile commonsense reasoning in open-ended scenarios", "url": "https://arxiv.org/abs/2505.04201", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[51]", "bibliographyText": "[51] N. Cheng, J. Xu, J. Chen, and W. Han (2025) SToLa: self-adaptive touch-language framework with tactile commonsense reasoning in open-ended scenarios . arXiv preprint arXiv:2505.04201 . Cited by: §III-B , TABLE I , §IV-B2 , TABLE II , §VI-A2 , TABLE III , TABLE III .", "originalUrls": [], "workId": "stola" }, { "number": 52, "key": "bib.bib111", "title": "Multi-modal representation learning with tactile data", "url": "https://arxiv.org/html/2605.17336#bib.bib111", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "[52]", "bibliographyText": "[52] H. Chi, J. Barreiros, J. Mercat, K. Ramani, and T. Kollar (2024) Multi-modal representation learning with tactile data . In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pp. 9660–9667 . Cited by: §III-C , TABLE I .", "originalUrls": [] }, { "number": 53, "key": "bib.bib112", "title": "DAMF: a semantic-guided dynamic attention framework for visual-haptic-textual multimodal fusion", "url": "https://arxiv.org/html/2605.17336#bib.bib112", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[53]", "bibliographyText": "[53] B. Wang, B. Li, T. Gao, L. Li, H. Wang, C. Zhao, and Z. Yi (2025) DAMF: a semantic-guided dynamic attention framework for visual-haptic-textual multimodal fusion . Knowledge-Based Systems , pp. 114244 . Cited by: §III-C , TABLE I , §IV-A1 , TABLE II , §VI-A1 , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 54, "key": "bib.bib40", "title": "TVT-transformer: a tactile-visual-textual fusion network for object recognition", "url": "https://arxiv.org/html/2605.17336#bib.bib40", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[54]", "bibliographyText": "[54] B. Li, L. Li, H. Wang, G. Chen, B. Wang, and S. Qiu (2025) TVT-transformer: a tactile-visual-textual fusion network for object recognition . Information Fusion 118 , pp. 102943 . Cited by: §III-C , TABLE I , §IV-A1 , TABLE II , §VI-A1 , TABLE III .", "originalUrls": [] }, { "number": 55, "key": "bib.bib20", "title": "Omnivtla: vision-tactile-language-action model with semantic-aligned tactile sensing", "url": "https://arxiv.org/abs/2508.08706", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[55]", "bibliographyText": "[55] Z. Cheng, Y. Zhang, W. Zhang, H. Li, K. Wang, L. Song, and H. Zhang (2025) Omnivtla: vision-tactile-language-action model with semantic-aligned tactile sensing . arXiv preprint arXiv:2508.08706 . Cited by: TABLE I , §IV-C1 , TABLE II .", "originalUrls": [], "workId": "omnivtla" }, { "number": 56, "key": "bib.bib51", "title": "Objectfolder: a dataset of objects with implicit visual, auditory, and tactile representations", "url": "https://arxiv.org/abs/2109.07991", "role": "reference", "status": "adjacent-resource", "note": "Supporting tactile/multisensory dataset, calibration labels, or general robot data corpus; no new executable action policy inferred from this bibliography citation. Resource details remain independently unreviewed here.", "sourceLabel": "[56]", "bibliographyText": "[56] R. Gao, Y. Chang, S. Mall, L. Fei-Fei, and J. Wu (2021) Objectfolder: a dataset of objects with implicit visual, auditory, and tactile representations . arXiv preprint arXiv:2109.07991 . Cited by: §III-D , TABLE I .", "originalUrls": [] }, { "number": 57, "key": "bib.bib48", "title": "Objectfolder 2.0: a multisensory object dataset for sim2real transfer", "url": "https://arxiv.org/html/2605.17336#bib.bib48", "role": "reference", "status": "adjacent-resource", "note": "Supporting tactile/multisensory dataset, calibration labels, or general robot data corpus; no new executable action policy inferred from this bibliography citation. Resource details remain independently unreviewed here.", "sourceLabel": "[57]", "bibliographyText": "[57] R. Gao, Z. Si, Y. Chang, S. Clarke, J. Bohg, L. Fei-Fei, W. Yuan, and J. Wu (2022) Objectfolder 2.0: a multisensory object dataset for sim2real transfer . In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pp. 10598–10608 . Cited by: §III-D , TABLE I .", "originalUrls": [] }, { "number": 58, "key": "bib.bib50", "title": "The objectfolder benchmark: multisensory learning with neural and real objects", "url": "https://arxiv.org/html/2605.17336#bib.bib50", "role": "reference", "status": "candidate", "note": "In-scope tactile dataset, benchmark, simulation, or world-model candidate. Original-source task scope and model-versus-policy role need review; no canonical identity or public release is inferred from this citation alone.", "sourceLabel": "[58]", "bibliographyText": "[58] R. Gao, Y. Dou, H. Li, T. Agarwal, J. Bohg, Y. Li, L. Fei-Fei, and J. Wu (2023) The objectfolder benchmark: multisensory learning with neural and real objects . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pp. 17276–17286 . Cited by: §III-D , TABLE I .", "originalUrls": [] }, { "number": 59, "key": "bib.bib92", "title": "Tla: tactile-language-action model for contact-rich manipulation", "url": "https://arxiv.org/abs/2503.08548", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[59]", "bibliographyText": "[59] P. Hao, C. Zhang, D. Li, X. Cao, X. Hao, S. Cui, and S. Wang (2025) Tla: tactile-language-action model for contact-rich manipulation . arXiv preprint arXiv:2503.08548 . Cited by: §III-D , TABLE I , §IV-C1 , TABLE II , §VI-A3 , TABLE III , TABLE III , TABLE III .", "originalUrls": [], "workId": "tla" }, { "number": 60, "key": "bib.bib17", "title": "Freetacman: robot-free visuo-tactile data collection system for contact-rich manipulation", "url": "https://arxiv.org/abs/2506.01941", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[60]", "bibliographyText": "[60] L. Wu, C. Yu, J. Ren, L. Chen, Y. Jiang, R. Huang, G. Gu, and H. Li (2025) Freetacman: robot-free visuo-tactile data collection system for contact-rich manipulation . arXiv preprint arXiv:2506.01941 . Cited by: §III-D , TABLE I , §V-A .", "originalUrls": [], "workId": "freetacman" }, { "number": 61, "key": "bib.bib3", "title": "OPENTOUCH: bringing full-hand touch to real-world interaction", "url": "https://arxiv.org/abs/2512.16842", "role": "reference", "status": "adjacent-resource", "note": "Supporting tactile/multisensory dataset, calibration labels, or general robot data corpus; no new executable action policy inferred from this bibliography citation. Resource details remain independently unreviewed here.", "sourceLabel": "[61]", "bibliographyText": "[61] Y. R. Song, J. Li, R. Fu, D. Murphy, K. Zhou, R. Shiv, Y. Li, H. Xiong, C. E. Owens, Y. Du, et al. (2025) OPENTOUCH: bringing full-hand touch to real-world interaction . arXiv preprint arXiv:2512.16842 . Cited by: §III-D , TABLE I .", "originalUrls": [] }, { "number": 62, "key": "bib.bib5", "title": "Hoi!–a multimodal dataset for force-grounded, cross-view articulated manipulation", "url": "https://arxiv.org/abs/2512.04884", "role": "reference", "status": "adjacent-resource", "note": "Supporting tactile/multisensory dataset, calibration labels, or general robot data corpus; no new executable action policy inferred from this bibliography citation. Resource details remain independently unreviewed here.", "sourceLabel": "[62]", "bibliographyText": "[62] T. Engelbracht, R. Zurbrügg, M. Wohlrapp, M. Büchner, A. Valada, M. Pollefeys, H. Blum, and Z. Bauer (2025) Hoi!–a multimodal dataset for force-grounded, cross-view articulated manipulation . arXiv preprint arXiv:2512.04884 . Cited by: §III-D , TABLE I .", "originalUrls": [] }, { "number": 63, "key": "bib.bib95", "title": "Vint-6d: a large-scale object-in-hand dataset from vision, touch and proprioception", "url": "https://arxiv.org/abs/2501.00510", "role": "reference", "status": "adjacent-resource", "note": "Supporting tactile/multisensory dataset, calibration labels, or general robot data corpus; no new executable action policy inferred from this bibliography citation. Resource details remain independently unreviewed here.", "sourceLabel": "[63]", "bibliographyText": "[63] Z. Wan, Y. Ling, S. Yi, L. Qi, W. Lee, M. Lu, S. Yang, X. Teng, P. Lu, X. Yang, et al. (2024) Vint-6d: a large-scale object-in-hand dataset from vision, touch and proprioception . arXiv preprint arXiv:2501.00510 . Cited by: §III-D , TABLE I .", "originalUrls": [] }, { "number": 64, "key": "bib.bib6", "title": "OmniVTA: visuo-tactile world modeling for contact-rich robotic manipulation", "url": "https://arxiv.org/html/2605.17336#bib.bib6", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[64]", "bibliographyText": "[64] Y. Zheng, S. Gu, W. Li, Y. Zheng, Y. Zang, S. Tian, X. Li, R. Wu, C. Hao, C. Gao, S. Liu, H. Li, Y. Chen, S. Yan, and W. Ding (2026) OmniVTA: visuo-tactile world modeling for contact-rich robotic manipulation . Cited by: §III-D , TABLE I , §IV-C1 , TABLE II .", "originalUrls": [], "workId": "omnivta" }, { "number": 65, "key": "bib.bib58", "title": "Imagenet classification with deep convolutional neural networks", "url": "https://arxiv.org/html/2605.17336#bib.bib58", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[65]", "bibliographyText": "[65] A. Krizhevsky, I. Sutskever, and G. E. Hinton (2012) Imagenet classification with deep convolutional neural networks . Advances in neural information processing systems 25 . Cited by: TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II , TABLE II .", "originalUrls": [] }, { "number": 66, "key": "bib.bib65", "title": "See, feel, act: hierarchical learning for complex manipulation skills with multisensory fusion", "url": "https://arxiv.org/html/2605.17336#bib.bib65", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[66]", "bibliographyText": "[66] (2019) See, feel, act: hierarchical learning for complex manipulation skills with multisensory fusion . Science Robotics 4 ( 26 ), pp. eaav3123 . Cited by: §IV-C1 , TABLE II , TABLE III .", "originalUrls": [] }, { "number": 67, "key": "bib.bib85", "title": "Mask r-cnn", "url": "https://arxiv.org/html/2605.17336#bib.bib85", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[67]", "bibliographyText": "[67] K. He, G. Gkioxari, P. Dollár, and R. Girshick (2017) Mask r-cnn . In Proceedings of the IEEE international conference on computer vision , pp. 2961–2969 . Cited by: TABLE II .", "originalUrls": [] }, { "number": 68, "key": "bib.bib80", "title": "Bayesian neural networks", "url": "https://arxiv.org/html/2605.17336#bib.bib80", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[68]", "bibliographyText": "[68] I. Kononenko (1989) Bayesian neural networks . Biological Cybernetics 61 ( 5 ), pp. 361–370 . Cited by: TABLE II .", "originalUrls": [] }, { "number": 69, "key": "bib.bib77", "title": "Learning cross-modal visual-tactile representation using ensembled generative adversarial networks", "url": "https://arxiv.org/html/2605.17336#bib.bib77", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "[69]", "bibliographyText": "[69] X. Li, H. Liu, J. Zhou, and F. Sun (2019) Learning cross-modal visual-tactile representation using ensembled generative adversarial networks . Cognitive Computation and Systems 1 ( 2 ), pp. 40–44 . Cited by: §IV-B1 , TABLE II .", "originalUrls": [] }, { "number": 70, "key": "bib.bib76", "title": "Generative adversarial nets", "url": "https://arxiv.org/html/2605.17336#bib.bib76", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[70]", "bibliographyText": "[70] I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio (2014) Generative adversarial nets . Advances in neural information processing systems 27 . Cited by: TABLE II .", "originalUrls": [] }, { "number": 71, "key": "bib.bib69", "title": "Making sense of vision and touch: self-supervised learning of multimodal representations for contact-rich tasks", "url": "https://arxiv.org/html/2605.17336#bib.bib69", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by exact normalized original title. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[71]", "bibliographyText": "[71] M. A. Lee, Y. Zhu, K. Srinivasan, P. Shah, S. Savarese, L. Fei-Fei, A. Garg, and J. Bohg (2019) Making sense of vision and touch: self-supervised learning of multimodal representations for contact-rich tasks . In 2019 International conference on robotics and automation (ICRA) , pp. 8943–8950 . Cited by: §IV-C1 , TABLE II .", "originalUrls": [], "workId": "making-sense-vision-touch" }, { "number": 72, "key": "bib.bib87", "title": "Flownet: learning optical flow with convolutional networks", "url": "https://arxiv.org/html/2605.17336#bib.bib87", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[72]", "bibliographyText": "[72] A. Dosovitskiy, P. Fischer, E. Ilg, P. Hausser, C. Hazirbas, V. Golkov, P. Van Der Smagt, D. Cremers, and T. Brox (2015) Flownet: learning optical flow with convolutional networks . In Proceedings of the IEEE international conference on computer vision , pp. 2758–2766 . Cited by: TABLE II .", "originalUrls": [] }, { "number": 73, "key": "bib.bib64", "title": "Lifelong visual-tactile cross-modal learning for robotic material perception", "url": "https://arxiv.org/html/2605.17336#bib.bib64", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[73]", "bibliographyText": "[73] W. Zheng, H. Liu, and F. Sun (2020) Lifelong visual-tactile cross-modal learning for robotic material perception . IEEE transactions on neural networks and learning systems 32 ( 3 ), pp. 1192–1203 . Cited by: §IV-A2 , TABLE II , §VI-A1 , TABLE III .", "originalUrls": [] }, { "number": 74, "key": "bib.bib60", "title": "Very deep convolutional networks for large-scale image recognition", "url": "https://arxiv.org/abs/1409.1556", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[74]", "bibliographyText": "[74] K. Simonyan and A. Zisserman (2014) Very deep convolutional networks for large-scale image recognition . arXiv preprint arXiv:1409.1556 . Cited by: TABLE II , TABLE II .", "originalUrls": [] }, { "number": 75, "key": "bib.bib46", "title": "Visuo-tactile transformers for manipulation", "url": "https://arxiv.org/abs/2210.00121", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[75]", "bibliographyText": "[75] Y. Chen, A. Sipos, M. Van der Merwe, and N. Fazeli (2022) Visuo-tactile transformers for manipulation . arXiv preprint arXiv:2210.00121 . Cited by: §IV-C1 , TABLE II , TABLE III .", "originalUrls": [], "workId": "vtt" }, { "number": 76, "key": "bib.bib55", "title": "Visuotactile-rl: learning multimodal manipulation policies with deep reinforcement learning", "url": "https://arxiv.org/html/2605.17336#bib.bib55", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[76]", "bibliographyText": "[76] J. Hansen, F. Hogan, D. Rivkin, D. Meger, M. Jenkin, and G. Dudek (2022) Visuotactile-rl: learning multimodal manipulation policies with deep reinforcement learning . In 2022 International Conference on Robotics and Automation (ICRA) , pp. 8298–8304 . Cited by: §IV-C1 , TABLE II , §VI-A3 , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 77, "key": "bib.bib54", "title": "Mastering visual continuous control: improved data-augmented reinforcement learning", "url": "https://arxiv.org/abs/2107.09645", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[77]", "bibliographyText": "[77] D. Yarats, R. Fergus, A. Lazaric, and L. Pinto (2021) Mastering visual continuous control: improved data-augmented reinforcement learning . arXiv preprint arXiv:2107.09645 . Cited by: TABLE II , TABLE II .", "originalUrls": [] }, { "number": 78, "key": "bib.bib38", "title": "VITO-transformer: a visual-tactile fusion network for object recognition", "url": "https://arxiv.org/html/2605.17336#bib.bib38", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[78]", "bibliographyText": "[78] B. Li, J. Bai, S. Qiu, H. Wang, and Y. Guo (2023) VITO-transformer: a visual-tactile fusion network for object recognition . IEEE Transactions on Instrumentation and Measurement 72 , pp. 1–10 . Cited by: §IV-A1 , TABLE II , §VI-A1 , TABLE III , TABLE III , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 79, "key": "bib.bib88", "title": "Mlp-mixer: an all-mlp architecture for vision", "url": "https://arxiv.org/html/2605.17336#bib.bib88", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[79]", "bibliographyText": "[79] I. O. Tolstikhin, N. Houlsby, A. Kolesnikov, L. Beyer, X. Zhai, T. Unterthiner, J. Yung, A. Steiner, D. Keysers, J. Uszkoreit, et al. (2021) Mlp-mixer: an all-mlp architecture for vision . Advances in neural information processing systems 34 , pp. 24261–24272 . Cited by: TABLE II , TABLE II .", "originalUrls": [] }, { "number": 80, "key": "bib.bib90", "title": "Fine-tuned clip models are efficient video learners", "url": "https://arxiv.org/html/2605.17336#bib.bib90", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[80]", "bibliographyText": "[80] H. Rasheed, M. U. Khattak, M. Maaz, S. Khan, and F. S. Khan (2023) Fine-tuned clip models are efficient video learners . In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pp. 6545–6554 . Cited by: TABLE II .", "originalUrls": [] }, { "number": 81, "key": "bib.bib91", "title": "Vicuna: an open-source chatbot impressing gpt-4 with 90%* chatgpt quality", "url": "https://lmsys.org/blog/2023-03-30-vicuna/", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[81]", "bibliographyText": "[81] W. Chiang, Z. Li, Z. Lin, Y. Sheng, Z. Wu, H. Zhang, L. Zheng, S. Zhuang, Y. Zhuang, J. E. Gonzalez, I. Stoica, and E. P. Xing (2023) Vicuna: an open-source chatbot impressing gpt-4 with 90%* chatgpt quality . External Links: Link Cited by: TABLE II , TABLE II .", "originalUrls": [ "https://lmsys.org/blog/2023-03-30-vicuna/" ] }, { "number": 82, "key": "bib.bib115", "title": "Bidirectional visual-tactile cross-modal generation using latent feature space flow model", "url": "https://arxiv.org/html/2605.17336#bib.bib115", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "[82]", "bibliographyText": "[82] Y. Fang, X. Zhang, W. Xu, G. Liu, and J. Zhao (2024) Bidirectional visual-tactile cross-modal generation using latent feature space flow model . 172 , pp. 106088 . Cited by: §IV-B1 , TABLE II , §VI-A2 , §VI-A2 , TABLE III , TABLE III , TABLE III , TABLE III , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 83, "key": "bib.bib119", "title": "Demonstrating the octopi-1.5 visual-tactile-language model", "url": "https://arxiv.org/abs/2507.09985", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[83]", "bibliographyText": "[83] S. Yu, K. Lin, and H. Soh (2025) Demonstrating the octopi-1.5 visual-tactile-language model . arXiv preprint arXiv:2507.09985 . Cited by: §IV-B2 , TABLE II , §VI-A2 , TABLE III .", "originalUrls": [], "workId": "octopi-15" }, { "number": 84, "key": "bib.bib53", "title": "Qwen2-vl: enhancing vision-language model’s perception of the world at any resolution", "url": "https://arxiv.org/abs/2409.12191", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[84]", "bibliographyText": "[84] P. Wang, S. Bai, S. Tan, S. Wang, Z. Fan, J. Bai, K. Chen, X. Liu, J. Wang, W. Ge, et al. (2024) Qwen2-vl: enhancing vision-language model’s perception of the world at any resolution . arXiv preprint arXiv:2409.12191 . Cited by: TABLE II , TABLE II , TABLE II , TABLE II .", "originalUrls": [] }, { "number": 85, "key": "bib.bib32", "title": "ViTacFormer: learning cross-modal representation for visuo-tactile dexterous manipulation", "url": "https://arxiv.org/abs/2506.15953", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[85]", "bibliographyText": "[85] L. Heng, H. Geng, K. Zhang, P. Abbeel, and J. Malik (2025) ViTacFormer: learning cross-modal representation for visuo-tactile dexterous manipulation . arXiv preprint arXiv:2506.15953 . Cited by: §IV-C1 , TABLE II , §VI-A3 , TABLE III , TABLE III .", "originalUrls": [], "workId": "vitacformer" }, { "number": 86, "key": "bib.bib31", "title": "ViTaPEs: visuotactile position encodings for cross-modal alignment in multimodal transformers", "url": "https://arxiv.org/abs/2505.20032", "role": "model", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[86]", "bibliographyText": "[86] F. Lygerakis, O. Özdenizci, and E. Rückert (2025) ViTaPEs: visuotactile position encodings for cross-modal alignment in multimodal transformers . arXiv preprint arXiv:2505.20032 . Cited by: §IV-A1 , §IV-A2 , §IV-A3 , TABLE II .", "originalUrls": [], "workId": "vitapes" }, { "number": 87, "key": "bib.bib103", "title": "Object attribute recognition method integrating visual-tactile data and multi-task learning", "url": "https://arxiv.org/html/2605.17336#bib.bib103", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[87]", "bibliographyText": "[87] D. Chen, P. Gao, T. Fan, L. Wei, and J. Liu (2025) Object attribute recognition method integrating visual-tactile data and multi-task learning . IEEE Sensors Journal . Cited by: §IV-A2 , TABLE II , §VI-A1 , TABLE III , TABLE III , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 88, "key": "bib.bib108", "title": "Surformer v2: a multimodal classifier for surface understanding from touch and vision", "url": "https://arxiv.org/abs/2509.04658", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[88]", "bibliographyText": "[88] M. Kansana, S. Penchala, S. Rahimi, and N. A. Golilarz (2025) Surformer v2: a multimodal classifier for surface understanding from touch and vision . arXiv preprint arXiv:2509.04658 . Cited by: §IV-A2 , TABLE II .", "originalUrls": [] }, { "number": 89, "key": "bib.bib86", "title": "Efficientnetv2: smaller models and faster training", "url": "https://arxiv.org/html/2605.17336#bib.bib86", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[89]", "bibliographyText": "[89] M. Tan and Q. Le (2021) Efficientnetv2: smaller models and faster training . In International conference on machine learning , pp. 10096–10106 . Cited by: TABLE II .", "originalUrls": [] }, { "number": 90, "key": "bib.bib21", "title": "Ulip-2: towards scalable multimodal pre-training for 3d understanding", "url": "https://arxiv.org/html/2605.17336#bib.bib21", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[90]", "bibliographyText": "[90] L. Xue, N. Yu, S. Zhang, A. Panagopoulou, J. Li, R. Martín-Martín, J. Wu, C. Xiong, R. Xu, J. C. Niebles, et al. (2024) Ulip-2: towards scalable multimodal pre-training for 3d understanding . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pp. 27091–27101 . Cited by: TABLE II .", "originalUrls": [] }, { "number": 91, "key": "bib.bib102", "title": "ConViTac: aligning visual-tactile fusion with contrastive representations", "url": "https://arxiv.org/abs/2506.20757", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[91]", "bibliographyText": "[91] Z. Wu, Y. Zhao, and S. Luo (2025) ConViTac: aligning visual-tactile fusion with contrastive representations . arXiv preprint arXiv:2506.20757 . Cited by: §IV-A2 , §IV-A3 , TABLE II , §VI-A1 , TABLE III .", "originalUrls": [], "workId": "convitac" }, { "number": 92, "key": "bib.bib42", "title": "VTLG: a vision-tactile-language grasp generation method oriented towards task", "url": "https://arxiv.org/html/2605.17336#bib.bib42", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[92]", "bibliographyText": "[92] T. Li, C. Yu, Y. Yan, D. Song, Y. Shuai, Y. Wang, and G. Chen (2026) VTLG: a vision-tactile-language grasp generation method oriented towards task . Robotics and Computer-Integrated Manufacturing 98 , pp. 103152 . Cited by: §IV-C2 , TABLE II , §VI-A3 , §VI-B3 , TABLE III , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 93, "key": "bib.bib39", "title": "DT-transformer: a text-tactile fusion network for object recognition", "url": "https://arxiv.org/html/2605.17336#bib.bib39", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[93]", "bibliographyText": "[93] S. Qiu, B. Li, X. Wang, H. Wang, and H. Ye (2024) DT-transformer: a text-tactile fusion network for object recognition . IEEE Transactions on Haptics . Cited by: §IV-A1 , TABLE II , §VI-A1 , TABLE III , TABLE III .", "originalUrls": [] }, { "number": 94, "key": "bib.bib94", "title": "Densely connected convolutional networks", "url": "https://arxiv.org/html/2605.17336#bib.bib94", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[94]", "bibliographyText": "[94] G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger (2017) Densely connected convolutional networks . In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 4700–4708 . Cited by: TABLE II .", "originalUrls": [] }, { "number": 95, "key": "bib.bib67", "title": "Learning to feel the future: dreamtacvla for contact-rich manipulation", "url": "https://arxiv.org/abs/2512.23864", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[95]", "bibliographyText": "[95] G. Ye, Z. Zhang, X. Zhao, S. Wu, H. Lu, S. Lu, and H. Liu (2025) Learning to feel the future: dreamtacvla for contact-rich manipulation . arXiv preprint arXiv:2512.23864 . Cited by: §IV-C1 , TABLE II .", "originalUrls": [], "workId": "dreamtacvla" }, { "number": 96, "key": "bib.bib4", "title": "Vla-touch: enhancing vision-language-action models with dual-level tactile feedback", "url": "https://arxiv.org/abs/2507.17294", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[96]", "bibliographyText": "[96] J. Bi, K. Y. Ma, C. Hao, M. Z. Shou, and H. Soh (2025) Vla-touch: enhancing vision-language-action models with dual-level tactile feedback . arXiv preprint arXiv:2507.17294 . Cited by: §IV-C1 , TABLE II .", "originalUrls": [], "workId": "vla-touch" }, { "number": 97, "key": "bib.bib89", "title": "Gpt-4o system card", "url": "https://arxiv.org/abs/2410.21276", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[97]", "bibliographyText": "[97] A. Hurst, A. Lerer, A. P. Goucher, A. Perelman, A. Ramesh, A. Clark, A. Ostrow, A. Welihinda, A. Hayes, A. Radford, et al. (2024) Gpt-4o system card . arXiv preprint arXiv:2410.21276 . Cited by: TABLE II , TABLE II .", "originalUrls": [] }, { "number": 98, "key": "bib.bib93", "title": "DexTac: learning contact-aware visuotactile policies via hand-by-hand teaching", "url": "https://arxiv.org/abs/2601.21474", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[98]", "bibliographyText": "[98] X. Zhang, C. Zhang, B. Zhang, Z. Peng, S. Cui, and S. Wang (2026) DexTac: learning contact-aware visuotactile policies via hand-by-hand teaching . arXiv preprint arXiv:2601.21474 . Cited by: §IV-C1 , TABLE II .", "originalUrls": [] }, { "number": 99, "key": "bib.bib7", "title": "VTAM: video-tactile-action models for complex physical interaction beyond vlas", "url": "https://arxiv.org/html/2605.17336#bib.bib7", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[99]", "bibliographyText": "[99] H. Yuan, W. Yi, Z. Zhang, W. Chen, Y. Mo, J. Yin, X. Li, X. Zeng, C. Wen, C. Lu, K. Driggs-Campbell, and I. Lourentzou (2026) VTAM: video-tactile-action models for complex physical interaction beyond vlas . Cited by: §IV-C1 , TABLE II .", "originalUrls": [], "workId": "vtam" }, { "number": 100, "key": "bib.bib78", "title": "Visual–tactile fusion material identification using dictionary learning", "url": "https://arxiv.org/html/2605.17336#bib.bib78", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[100]", "bibliographyText": "[100] H. Liu and F. Sun (2018) Visual–tactile fusion material identification using dictionary learning . In Robotic Tactile Perception and Understanding: A Sparse Coding Method , pp. 159–182 . Cited by: §IV-A1 , §IV-A2 .", "originalUrls": [] }, { "number": 101, "key": "bib.bib82", "title": "A glove-based system for object recognition via visual-tactile fusion", "url": "https://arxiv.org/html/2605.17336#bib.bib82", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[101]", "bibliographyText": "[101] B. Fang, F. Sun, H. Liu, C. Tan, and D. Guo (2019) A glove-based system for object recognition via visual-tactile fusion . Science China. Information Sciences 62 ( 5 ), pp. 50203 . Cited by: §V-A .", "originalUrls": [] }, { "number": 102, "key": "bib.bib11", "title": "OSMO: open-source tactile glove for human-to-robot skill transfer", "url": "https://arxiv.org/abs/2512.08920", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[102]", "bibliographyText": "[102] J. Yin, H. Qi, Y. Wi, S. Kundu, M. Lambeta, W. Yang, C. Wang, T. Wu, J. Malik, and T. Hellebrekers (2025) OSMO: open-source tactile glove for human-to-robot skill transfer . arXiv preprint arXiv:2512.08920 . Cited by: §V-A .", "originalUrls": [] }, { "number": 103, "key": "bib.bib8", "title": "LightTact: a visual-tactile fingertip sensor for deformation-independent contact sensing", "url": "https://arxiv.org/abs/2512.20591", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[103]", "bibliographyText": "[103] C. Lin, B. Huo, M. Yu, E. Ruppel, B. Chen, J. Francis, and D. Zhao (2025) LightTact: a visual-tactile fingertip sensor for deformation-independent contact sensing . arXiv preprint arXiv:2512.20591 . Cited by: §V-B , §V-D .", "originalUrls": [] }, { "number": 104, "key": "bib.bib10", "title": "Simultaneous tactile-visual perception for learning multimodal robot manipulation", "url": "https://arxiv.org/abs/2512.09851", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[104]", "bibliographyText": "[104] Y. Li, Y. Chen, Z. Zhao, P. Li, T. Liu, S. Huang, and Y. Zhu (2025) Simultaneous tactile-visual perception for learning multimodal robot manipulation . arXiv preprint arXiv:2512.09851 . Cited by: §V-B , §V-D .", "originalUrls": [], "workId": "tacthru-umi" }, { "number": 105, "key": "bib.bib79", "title": "A novel multi-modal tactile sensor design using thermochromic material", "url": "https://arxiv.org/html/2605.17336#bib.bib79", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[105]", "bibliographyText": "[105] F. Sun, B. Fang, H. Xue, H. Liu, and H. Huang (2019) A novel multi-modal tactile sensor design using thermochromic material . Science China. Information Sciences 62 ( 11 ), pp. 214201 . Cited by: §V-B .", "originalUrls": [] }, { "number": 106, "key": "bib.bib84", "title": "MagicGel: a novel visual-based tactile sensor design with magnetic gel", "url": "https://arxiv.org/html/2605.17336#bib.bib84", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[106]", "bibliographyText": "[106] J. Shan, J. Zhao, J. Liu, X. Wang, Z. Xia, G. Chen, Z. Ren, G. Xu, and B. Fang (2025) MagicGel: a novel visual-based tactile sensor design with magnetic gel . In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pp. 19767–19774 . Cited by: §V-B .", "originalUrls": [] }, { "number": 107, "key": "bib.bib75", "title": "A braille detection system based on visuo-tactile sensing", "url": "https://arxiv.org/html/2605.17336#bib.bib75", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[107]", "bibliographyText": "[107] S. Zhang, J. Du, Y. Sun, F. Sun, H. Liu, Y. Yang, and B. Fang (2025) A braille detection system based on visuo-tactile sensing . Measurement 247 , pp. 116827 . Cited by: §V-B .", "originalUrls": [] }, { "number": 108, "key": "bib.bib24", "title": "A compact visuo-tactile robotic skin for micron-level tactile perception", "url": "https://arxiv.org/html/2605.17336#bib.bib24", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[108]", "bibliographyText": "[108] S. Zhang, Y. Yang, F. Sun, L. Bao, J. Shan, Y. Gao, and B. Fang (2024) A compact visuo-tactile robotic skin for micron-level tactile perception . IEEE Sensors Journal 24 ( 9 ), pp. 15273–15282 . Cited by: §V-B .", "originalUrls": [] }, { "number": 109, "key": "bib.bib9", "title": "TacUMI: a multi-modal universal manipulation interface for contact-rich tasks", "url": "https://arxiv.org/abs/2601.14550", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[109]", "bibliographyText": "[109] T. Cheng, K. Chen, L. Chen, L. Zhang, Y. Zhang, Y. Ling, M. Hamad, Z. Bing, F. Wu, K. Sharma, et al. (2026) TacUMI: a multi-modal universal manipulation interface for contact-rich tasks . arXiv preprint arXiv:2601.14550 . Cited by: §V-B , §V-D .", "originalUrls": [] }, { "number": 110, "key": "bib.bib12", "title": "In-the-wild compliant manipulation with umi-ft", "url": "https://arxiv.org/abs/2601.09988", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[110]", "bibliographyText": "[110] H. Choi, Y. Hou, C. Pan, S. Hong, A. Patel, X. Xu, M. R. Cutkosky, and S. Song (2026) In-the-wild compliant manipulation with umi-ft . arXiv preprint arXiv:2601.09988 . Cited by: §V-B .", "originalUrls": [] }, { "number": 111, "key": "bib.bib70", "title": "Multimodal tactile sensing fused with vision for dexterous robotic housekeeping", "url": "https://arxiv.org/html/2605.17336#bib.bib70", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[111]", "bibliographyText": "[111] Q. Mao, Z. Liao, J. Yuan, and R. Zhu (2024) Multimodal tactile sensing fused with vision for dexterous robotic housekeeping . Nature Communications 15 ( 1 ), pp. 6871 . Cited by: §V-C , §V-D , TABLE III .", "originalUrls": [] }, { "number": 112, "key": "bib.bib14", "title": "Biomimetic hydrogel-based sensors with dual-mode dynamic-static tactile sensing capability enabling robotic hand for intelligent material property recognition", "url": "https://arxiv.org/html/2605.17336#bib.bib14", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[112]", "bibliographyText": "[112] Y. Lv, Z. Ma, J. Duan, G. Sun, P. Wang, S. Qu, F. Liu, C. Meng, X. Lin, T. Liu, et al. (2025) Biomimetic hydrogel-based sensors with dual-mode dynamic-static tactile sensing capability enabling robotic hand for intelligent material property recognition . InfoMat , pp. e70041 . Cited by: §V-C .", "originalUrls": [] }, { "number": 113, "key": "bib.bib83", "title": "A large-area tactile sensor for distributed force sensing using highly sensitive piezoresistive sponge", "url": "https://arxiv.org/html/2605.17336#bib.bib83", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[113]", "bibliographyText": "[113] W. Zheng, K. Liu, D. Guo, W. Yang, J. Zhu, and H. Liu (2024) A large-area tactile sensor for distributed force sensing using highly sensitive piezoresistive sponge . In 2024 IEEE International Conference on Robotics and Automation (ICRA) , pp. 1063–1069 . Cited by: §V-C .", "originalUrls": [] }, { "number": 114, "key": "bib.bib81", "title": "A large-area robotic skin for intelligent tactile interaction of collaborative robots", "url": "https://arxiv.org/html/2605.17336#bib.bib81", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[114]", "bibliographyText": "[114] W. Zheng, D. Guo, W. Yang, and H. Liu (2025) A large-area robotic skin for intelligent tactile interaction of collaborative robots . IEEE/ASME Transactions on Mechatronics . Cited by: §V-C .", "originalUrls": [] }, { "number": 115, "key": "bib.bib15", "title": "A biomimetic ionic hydrogel synapse for self-powered tactile-visual fusion perception", "url": "https://arxiv.org/html/2605.17336#bib.bib15", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[115]", "bibliographyText": "[115] J. Wu, L. Zhang, W. Chang, H. Zhang, W. Zhang, T. Mei, X. Zhu, L. Wang, M. Zhang, and K. Xiao (2025) A biomimetic ionic hydrogel synapse for self-powered tactile-visual fusion perception . Advanced Functional Materials , pp. 2500048 . Cited by: §V-C .", "originalUrls": [] }, { "number": 116, "key": "bib.bib63", "title": "Pollen-biochar-based tactile-pain dual-function sensors for intelligent robotics", "url": "https://arxiv.org/html/2605.17336#bib.bib63", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[116]", "bibliographyText": "[116] L. Li, H. Xue, Y. Shao, J. Wang, Z. Zhu, H. Sun, B. Zhu, X. Pu, and F. Sun (2025) Pollen-biochar-based tactile-pain dual-function sensors for intelligent robotics . Advanced Functional Materials , pp. e22727 . Cited by: §V-C .", "originalUrls": [] }, { "number": 117, "key": "bib.bib13", "title": "Biomimetic multimodal tactile sensing enables human-like robotic perception", "url": "https://arxiv.org/html/2605.17336#bib.bib13", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[117]", "bibliographyText": "[117] S. Li, T. Wu, J. Xu, Y. Huang, Z. Zhang, H. Zhao, Q. Xu, Z. Wang, L. Ye, Y. Yang, et al. (2026) Biomimetic multimodal tactile sensing enables human-like robotic perception . Nature Sensors 1 ( 1 ), pp. 52–62 . Cited by: §V-C .", "originalUrls": [] }, { "number": 118, "key": "bib.bib16", "title": "Visual-tactile pretraining and online multitask learning for humanlike manipulation dexterity", "url": "https://arxiv.org/html/2605.17336#bib.bib16", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[118]", "bibliographyText": "[118] Q. Ye, Q. Liu, S. Wang, J. Chen, Y. Cui, K. Jin, H. Chen, X. Cai, G. Li, and J. Chen (2026) Visual-tactile pretraining and online multitask learning for humanlike manipulation dexterity . Science Robotics 11 ( 110 ), pp. eady2869 . Cited by: §V-D .", "originalUrls": [] }, { "number": 119, "key": "bib.bib66", "title": "Making sense of vision and touch: learning multimodal representations for contact-rich tasks", "url": "https://arxiv.org/html/2605.17336#bib.bib66", "role": "policy", "status": "indexed", "note": "Manually verified journal-extension identity: the 2020 T-RO title and nine named authors match original arXiv:1907.13098, which the reviewed making-sense-vision-touch record explicitly links as its extended manuscript. Quantitative fields remain version-qualified to the original ICRA paper.", "sourceLabel": "[119]", "bibliographyText": "[119] M. A. Lee, Y. Zhu, P. Zachares, M. Tan, K. Srinivasan, S. Savarese, L. Fei-Fei, A. Garg, and J. Bohg (2020) Making sense of vision and touch: learning multimodal representations for contact-rich tasks . IEEE Transactions on Robotics 36 ( 3 ), pp. 582–596 . Cited by: TABLE III .", "originalUrls": [ "https://arxiv.org/abs/1907.13098" ], "workId": "making-sense-vision-touch" } ] }, { "id": "forceful-foundation-survey-references", "workId": "forceful-foundation-survey", "label": "Towards Forceful Robotic Foundation Models: a Literature Survey", "url": "https://arxiv.org/abs/2504.11827", "referencesUrl": "https://arxiv.org/html/2504.11827#bib", "corpusUrl": "https://arxiv.org/html/2504.11827", "snapshot": "Original bibliography, manual dispositions and exact original-source late-batch reconciliation, 2026-10-17", "scope": "Complete original bibliography with explicit identity matches and individually reviewed title-level dispositions. Indexed means a reviewed canonical record exists; background and adjacent resources are not counted as method reviews. Candidate means original-source review is still pending. No fuzzy identity matching or containing-survey fallback matching is used.", "entries": [ { "number": 1, "key": "bib.bib1", "title": "World population prospects: Probabilistic projections - total population", "url": "https://population.un.org/wpp/graphs?loc=906&type=Probabilistic%20Projections&category=Population&subcategory=1_Total%20Population", "role": "reference", "status": "background", "note": "United Nations population projection cited for demographic motivation; contextual background outside the RGBDT methods/benchmark corpus.", "sourceLabel": "[1]", "bibliographyText": "[1] United Nations, Department of Economic and Social Affairs, Population Division. World population prospects: Probabilistic projections - total population, 2024. URL https://population.un.org/wpp/graphs?loc=906&type=Probabilistic%20Projections&category=Population&subcategory=1_Total%20Population . Accessed: 2025-02-22.", "originalUrls": [ "https://population.un.org/wpp/graphs?loc=906&type=Probabilistic%20Projections&category=Population&subcategory=1_Total%20Population" ] }, { "number": 2, "key": "bib.bib2", "title": "Rt-1: Robotics transformer for real-world control at scale", "url": "https://arxiv.org/abs/2212.06817", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[2]", "bibliographyText": "[2] A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, J. Dabis, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, J. Hsu, J. Ibarz, B. Ichter, A. Irpan, T. Jackson, S. Jesmonth, N. J. Joshi, R. Julian, D. Kalashnikov, Y. Kuang, I. Leal, K.-H. Lee, S. Levine, Y. Lu, U. Malla, D. Manjunath, I. Mordatch, O. Nachum, C. Parada, J. Peralta, E. Perez, K. Pertsch, J. Quiambao, K. Rao, M. Ryoo, G. Salazar, P. Sanketi, K. Sayed, J. Singh, S. Sontakke, A. Stone, C. Tan, H. Tran, V. Vanhoucke, S. Vega, Q. Vuong, F. Xia, T. Xiao, P. Xu, S. Xu, T. Yu, and B. Zitkovich. Rt-1: Robotics transformer for real-world control at scale, 2023. URL https://arxiv.org/abs/2212.06817 .", "originalUrls": [ "https://arxiv.org/abs/2212.06817" ], "workId": "rt1" }, { "number": 3, "key": "bib.bib3", "title": "Open X-Embodiment: Robotic learning datasets and RT-X models", "url": "https://arxiv.org/abs/2310.08864", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[3]", "bibliographyText": "[3] O. X.-E. Collaboration, A. O’Neill, A. Rehman, A. Gupta, A. Maddukuri, A. Gupta, A. Padalkar, A. Lee, A. Pooley, A. Gupta, A. Mandlekar, A. Jain, A. Tung, A. Bewley, A. Herzog, A. Irpan, A. Khazatsky, A. Rai, A. Gupta, A. Wang, A. Kolobov, A. Singh, A. Garg, A. Kembhavi, A. Xie, A. Brohan, A. Raffin, A. Sharma, A. Yavary, A. Jain, A. Balakrishna, A. Wahid, B. Burgess-Limerick, B. Kim, B. Schölkopf, B. Wulfe, B. Ichter, C. Lu, C. Xu, C. Le, C. Finn, C. Wang, C. Xu, C. Chi, C. Huang, C. Chan, C. Agia, C. Pan, C. Fu, C. Devin, D. Xu, D. Morton, D. Driess, D. Chen, D. Pathak, D. Shah, D. Büchler, D. Jayaraman, D. Kalashnikov, D. Sadigh, E. Johns, E. Foster, F. Liu, F. Ceola, F. Xia, F. Zhao, F. V. Frujeri, F. Stulp, G. Zhou, G. S. Sukhatme, G. Salhotra, G. Yan, G. Feng, G. Schiavi, G. Berseth, G. Kahn, G. Yang, G. Wang, H. Su, H.-S. Fang, H. Shi, H. Bao, H. B. Amor, H. I. Christensen, H. Furuta, H. Bharadhwaj, H. Walke, H. Fang, H. Ha, I. Mordatch, I. Radosavovic, I. Leal, J. Liang, J. Abou-Chakra, J. Kim,\nJ. Drake, J. Peters, J. Schneider, J. Hsu, J. Vakil, J. Bohg, J. Bingham, J. Wu, J. Gao, J. Hu, J. Wu, J. Wu, J. Sun, J. Luo, J. Gu, J. Tan, J. Oh, J. Wu, J. Lu, J. Yang, J. Malik, J. Silvério, J. Hejna, J. Booher, J. Tompson, J. Yang, J. Salvador, J. J. Lim, J. Han, K. Wang, K. Rao, K. Pertsch, K. Hausman, K. Go, K. Gopalakrishnan, K. Goldberg, K. Byrne, K. Oslund, K. Kawaharazuka, K. Black, K. Lin, K. Zhang, K. Ehsani, K. Lekkala, K. Ellis, K. Rana, K. Srinivasan, K. Fang, K. P. Singh, K.-H. Zeng, K. Hatch, K. Hsu, L. Itti, L. Y. Chen, L. Pinto, L. Fei-Fei, L. Tan, L. J. Fan, L. Ott, L. Lee, L. Weihs, M. Chen, M. Lepert, M. Memmel, M. Tomizuka, M. Itkina, M. G. Castro, M. Spero, M. Du, M. Ahn, M. C. Yip, M. Zhang, M. Ding, M. Heo, M. K. Srirama, M. Sharma, M. J. Kim, N. Kanazawa, N. Hansen, N. Heess, N. J. Joshi, N. Suenderhauf, N. Liu, N. D. Palo, N. M. M. Shafiullah, O. Mees, O. Kroemer, O. Bastani, P. R. Sanketi, P. T. Miller, P. Yin, P. Wohlhart, P. Xu, P. D. Fagan, P. Mitrano, P. Sermanet,\nP. Abbeel, P. Sundaresan, Q. Chen, Q. Vuong, R. Rafailov, R. Tian, R. Doshi, R. Mart’in-Mart’in, R. Baijal, R. Scalise, R. Hendrix, R. Lin, R. Qian, R. Zhang, R. Mendonca, R. Shah, R. Hoque, R. Julian, S. Bustamante, S. Kirmani, S. Levine, S. Lin, S. Moore, S. Bahl, S. Dass, S. Sonawani, S. Tulsiani, S. Song, S. Xu, S. Haldar, S. Karamcheti, S. Adebola, S. Guist, S. Nasiriany, S. Schaal, S. Welker, S. Tian, S. Ramamoorthy, S. Dasari, S. Belkhale, S. Park, S. Nai", "originalUrls": [ "https://arxiv.org/abs/2310.08864" ], "workId": "rt-x" }, { "number": 4, "key": "bib.bib4", "title": "Openvla: An open-source vision-language-action model", "url": "https://arxiv.org/abs/2406.09246", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[4]", "bibliographyText": "[4] M. J. Kim, K. Pertsch, S. Karamcheti, T. Xiao, A. Balakrishna, S. Nair, R. Rafailov, E. Foster, G. Lam, P. Sanketi, Q. Vuong, T. Kollar, B. Burchfiel, R. Tedrake, D. Sadigh, S. Levine, P. Liang, and C. Finn. Openvla: An open-source vision-language-action model, 2024. URL https://arxiv.org/abs/2406.09246 .", "originalUrls": [ "https://arxiv.org/abs/2406.09246" ], "workId": "openvla" }, { "number": 5, "key": "bib.bib5", "title": "Pi0: Our first generalist policy", "url": "https://arxiv.org/html/2504.11827#bib.bib5", "role": "policy", "status": "indexed", "note": "Manually verified original-source alias: The citation is the official PI blog Our First Generalist Policy, already the canonical pi0 project link; the paper and blog are the same policy release.", "sourceLabel": "[5]", "bibliographyText": "[5] K. Black, N. Brown, D. Driess, A. Esmail, M. Equi, C. Finn, N. Fusai, L. Groom, K. Hausman, B. Ichter, S. Jakubczak, T. Jones, L. Ke, S. Levine, A. Li-Bell, M. Mothukuri, S. Nair, K. Pertsch, L. X. Shi, J. Tanner, Q. Vuong, A. Walling, H. Wang, and U. Zhilinsky. Pi0: Our first generalist policy.", "originalUrls": [ "https://www.pi.website/blog/pi0" ], "workId": "pi0" }, { "number": 6, "key": "bib.bib6", "title": "Gemini robotics: Bringing ai into the physical world", "url": "https://storage.googleapis.com/deepmind-media/gemini-robotics/gemini_robotics_report.pdf", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[6]", "bibliographyText": "[6] G. D. Gemini Robotics Team. Gemini robotics: Bringing ai into the physical world, 2025. URL https://storage.googleapis.com/deepmind-media/gemini-robotics/gemini_robotics_report.pdf .", "originalUrls": [ "https://storage.googleapis.com/deepmind-media/gemini-robotics/gemini_robotics_report.pdf" ] }, { "number": 7, "key": "bib.bib7", "title": "Language models are few-shot learners", "url": "https://arxiv.org/abs/2005.14165", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[7]", "bibliographyText": "[7] T. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei. Language models are few-shot learners. Advances in Neural Information Processing Systems (NeurIPS) , 2020. URL https://arxiv.org/abs/2005.14165 .", "originalUrls": [ "https://arxiv.org/abs/2005.14165" ] }, { "number": 8, "key": "bib.bib8", "title": "Deligrasp: Inferring object properties with llms for adaptive grasp policies", "url": "https://proceedings.mlr.press/v270/xie25a.html", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[8]", "bibliographyText": "[8] W. Xie, M. Valentini, J. Lavering, and N. Correll. Deligrasp: Inferring object properties with llms for adaptive grasp policies. In Proceedings of The 8th Conference on Robot Learning , pages 1290–1309. PMLR, 2024. URL https://proceedings.mlr.press/v270/xie25a.html .", "originalUrls": [ "https://proceedings.mlr.press/v270/xie25a.html" ] }, { "number": 9, "key": "bib.bib9", "title": "Autonomous industrial assembly using force, torque, and rgb-d sensing", "url": "https://arxiv.org/html/2504.11827#bib.bib9", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[9]", "bibliographyText": "[9] J. Watson, A. Miller, and N. Correll. Autonomous industrial assembly using force, torque, and rgb-d sensing. Advanced Robotics , 34(7-8):546–559, 2020.", "originalUrls": [] }, { "number": 10, "key": "bib.bib10", "title": "Attention is all you need", "url": "https://arxiv.org/html/2504.11827#bib.bib10", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[10]", "bibliographyText": "[10] A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin. Attention is all you need. Advances in neural information processing systems , 30, 2017.", "originalUrls": [] }, { "number": 11, "key": "bib.bib11", "title": "Diffusion policy: Visuomotor policy learning via action diffusion", "url": "https://arxiv.org/abs/2311.01248", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[11]", "bibliographyText": "[11] C. Chi, S. Feng, Y. Du, Z. Xu, E. Cousineau, B. Burchfiel, and S. Song. Diffusion policy: Visuomotor policy learning via action diffusion. In Proceedings of Robotics: Science and Systems (RSS) , 2023. URL https://arxiv.org/abs/2311.01248 .", "originalUrls": [ "https://arxiv.org/abs/2311.01248" ], "workId": "dp" }, { "number": 12, "key": "bib.bib12", "title": "Sensory receptors, cutaneous", "url": "https://arxiv.org/html/2504.11827#bib.bib12", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[12]", "bibliographyText": "[12] J. M. Wolfe and A. Iggo. Sensory receptors, cutaneous. Sensory Systems: II: Senses Other than Vision , pages 109–110, 1988.", "originalUrls": [] }, { "number": 13, "key": "bib.bib13", "title": "Tactile sensory coding in the glabrous skin of the human hand", "url": "https://arxiv.org/html/2504.11827#bib.bib13", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[13]", "bibliographyText": "[13] R. S. Johansson and Å. B. Vallbo. Tactile sensory coding in the glabrous skin of the human hand. Trends in neurosciences , 6:27–32, 1983.", "originalUrls": [] }, { "number": 14, "key": "bib.bib14", "title": "The roles and functions of cutaneous mechanoreceptors", "url": "https://arxiv.org/html/2504.11827#bib.bib14", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[14]", "bibliographyText": "[14] K. O. Johnson. The roles and functions of cutaneous mechanoreceptors. Current opinion in neurobiology , 11(4):455–461, 2001.", "originalUrls": [] }, { "number": 15, "key": "bib.bib15", "title": "The sensory hand: neural mechanisms of somatic sensation ", "url": "https://arxiv.org/html/2504.11827#bib.bib15", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[15]", "bibliographyText": "[15] V. B. Mountcastle. The sensory hand: neural mechanisms of somatic sensation . Harvard University Press, 2005.", "originalUrls": [] }, { "number": 16, "key": "bib.bib16", "title": "Properties of cutaneous mechanoreceptors in the human hand related to touch sensation", "url": "https://arxiv.org/html/2504.11827#bib.bib16", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[16]", "bibliographyText": "[16] A. B. Vallbo, R. S. Johansson, et al. Properties of cutaneous mechanoreceptors in the human hand related to touch sensation. Hum neurobiol , 3(1):3–14, 1984.", "originalUrls": [] }, { "number": 17, "key": "bib.bib17", "title": "Secondary endings of muscle spindles: Structure, reflex action, role in motor control and proprioception", "url": "https://arxiv.org/html/2504.11827#bib.bib17", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[17]", "bibliographyText": "[17] R. W. Banks, P. H. Ellaway, A. Prochazka, and U. Proske. Secondary endings of muscle spindles: Structure, reflex action, role in motor control and proprioception. Experimental Physiology , 106(12):2339–2366, 2021.", "originalUrls": [] }, { "number": 18, "key": "bib.bib18", "title": "Golgi tendon organs in mammalian skeletal muscle: functional properties and central actions", "url": "https://arxiv.org/html/2504.11827#bib.bib18", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[18]", "bibliographyText": "[18] L. Jami. Golgi tendon organs in mammalian skeletal muscle: functional properties and central actions. Physiological reviews , 72(3):623–666, 1992.", "originalUrls": [] }, { "number": 19, "key": "bib.bib19", "title": "Proprioception", "url": "https://arxiv.org/html/2504.11827#bib.bib19", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[19]", "bibliographyText": "[19] J. C. Tuthill and E. Azim. Proprioception. Current Biology , 28(5):R194–R203, 2018.", "originalUrls": [] }, { "number": 20, "key": "bib.bib20", "title": "Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects", "url": "https://arxiv.org/html/2504.11827#bib.bib20", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[20]", "bibliographyText": "[20] R. S. Johansson and G. Westling. Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects. Experimental brain research , 56(3):550–564, 1984.", "originalUrls": [] }, { "number": 21, "key": "bib.bib21", "title": "Proprioception and motor control", "url": "https://www.youtube.com/watch?v=0LfJ3M3Kn80", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[21]", "bibliographyText": "[21] R. Johansson. Proprioception and motor control, 2025. URL https://www.youtube.com/watch?v=0LfJ3M3Kn80 . Accessed: 2025-03-26.", "originalUrls": [ "https://www.youtube.com/watch?v=0LfJ3M3Kn80" ] }, { "number": 22, "key": "bib.bib22", "title": "Materials that couple sensing, actuation, computation, and communication", "url": "https://arxiv.org/html/2504.11827#bib.bib22", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[22]", "bibliographyText": "[22] M. A. McEvoy and N. Correll. Materials that couple sensing, actuation, computation, and communication. Science , 347(6228):1261689, 2015.", "originalUrls": [] }, { "number": 23, "key": "bib.bib23", "title": "Robot force control ", "url": "https://arxiv.org/html/2504.11827#bib.bib23", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[23]", "bibliographyText": "[23] B. Siciliano and L. Villani. Robot force control . Springer Science & Business Media, 1999.", "originalUrls": [] }, { "number": 24, "key": "bib.bib24", "title": "Introduction to autonomous robots: mechanisms, sensors, actuators, and algorithms ", "url": "https://arxiv.org/html/2504.11827#bib.bib24", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[24]", "bibliographyText": "[24] N. Correll, B. Hayes, C. Heckman, and A. Roncone. Introduction to autonomous robots: mechanisms, sensors, actuators, and algorithms . MIT Press, 2022.", "originalUrls": [] }, { "number": 25, "key": "bib.bib25", "title": "Impedance control: An approach to manipulation: Part ii—implementation", "url": "https://arxiv.org/html/2504.11827#bib.bib25", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[25]", "bibliographyText": "[25] N. Hogan. Impedance control: An approach to manipulation: Part ii—implementation. 1985.", "originalUrls": [] }, { "number": 26, "key": "bib.bib26", "title": "Admittance control for physical human–robot interaction", "url": "https://arxiv.org/html/2504.11827#bib.bib26", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[26]", "bibliographyText": "[26] A. Q. Keemink, H. Van der Kooij, and A. H. Stienen. Admittance control for physical human–robot interaction. The International Journal of Robotics Research , 37(11):1421–1444, 2018.", "originalUrls": [] }, { "number": 27, "key": "bib.bib27", "title": "Learning variable impedance control", "url": "https://arxiv.org/html/2504.11827#bib.bib27", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[27]", "bibliographyText": "[27] J. Buchli, F. Stulp, E. Theodorou, and S. Schaal. Learning variable impedance control. The International Journal of Robotics Research , 30(7):820–833, 2011.", "originalUrls": [] }, { "number": 28, "key": "bib.bib28", "title": "Variable impedance control and learning—a review", "url": "https://arxiv.org/html/2504.11827#bib.bib28", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[28]", "bibliographyText": "[28] F. J. Abu-Dakka and M. Saveriano. Variable impedance control and learning—a review. Frontiers in Robotics and AI , 7:590681, 2020.", "originalUrls": [] }, { "number": 29, "key": "bib.bib29", "title": "Learning variable impedance control via inverse reinforcement learning for force-related tasks", "url": "https://arxiv.org/html/2504.11827#bib.bib29", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[29]", "bibliographyText": "[29] X. Zhang, L. Sun, Z. Kuang, and M. Tomizuka. Learning variable impedance control via inverse reinforcement learning for force-related tasks. IEEE Robotics and Automation Letters , 6(2):2225–2232, 2021.", "originalUrls": [] }, { "number": 30, "key": "bib.bib30", "title": "Lstm-based imitation learning of robot manipulator using impedance control", "url": "https://arxiv.org/html/2504.11827#bib.bib30", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[30]", "bibliographyText": "[30] S. Park, S. Jo, and S. Lee. Lstm-based imitation learning of robot manipulator using impedance control. Journal of Institute of Control, Robotics and Systems , 29(2):107–112, 2023.", "originalUrls": [] }, { "number": 31, "key": "bib.bib31", "title": "Algorithms for inverse reinforcement learning", "url": "https://arxiv.org/html/2504.11827#bib.bib31", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[31]", "bibliographyText": "[31] A. Y. Ng, S. Russell, et al. Algorithms for inverse reinforcement learning. In Icml , volume 1, page 2, 2000.", "originalUrls": [] }, { "number": 32, "key": "bib.bib32", "title": "A reduction of imitation learning and structured prediction to no-regret online learning", "url": "https://arxiv.org/html/2504.11827#bib.bib32", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[32]", "bibliographyText": "[32] S. Ross, G. Gordon, and D. Bagnell. A reduction of imitation learning and structured prediction to no-regret online learning. In Proceedings of the fourteenth international conference on artificial intelligence and statistics , pages 627–635. JMLR Workshop and Conference Proceedings, 2011.", "originalUrls": [] }, { "number": 33, "key": "bib.bib33", "title": "Guided policy search", "url": "https://arxiv.org/html/2504.11827#bib.bib33", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[33]", "bibliographyText": "[33] S. Levine and V. Koltun. Guided policy search. In International conference on machine learning , pages 1–9. PMLR, 2013.", "originalUrls": [] }, { "number": 34, "key": "bib.bib34", "title": "Decision transformer: Reinforcement learning via sequence modeling", "url": "https://arxiv.org/html/2504.11827#bib.bib34", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[34]", "bibliographyText": "[34] L. Chen, K. Lu, A. Rajeswaran, K. Lee, A. Grover, M. Laskin, P. Abbeel, A. Srinivas, and I. Mordatch. Decision transformer: Reinforcement learning via sequence modeling. Advances in neural information processing systems , 34:15084–15097, 2021.", "originalUrls": [] }, { "number": 35, "key": "bib.bib35", "title": "Offline reinforcement learning as one big sequence modeling problem", "url": "https://arxiv.org/html/2504.11827#bib.bib35", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[35]", "bibliographyText": "[35] M. Janner, Q. Li, and S. Levine. Offline reinforcement learning as one big sequence modeling problem. Advances in neural information processing systems , 34:1273–1286, 2021.", "originalUrls": [] }, { "number": 36, "key": "bib.bib36", "title": "Hierarchical text-conditional image generation with clip latents", "url": "https://arxiv.org/abs/2204.06125", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[36]", "bibliographyText": "[36] A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen. Hierarchical text-conditional image generation with clip latents. arXiv preprint arXiv:2204.06125 , 1(2):3, 2022.", "originalUrls": [] }, { "number": 37, "key": "bib.bib37", "title": "High-resolution image synthesis with latent diffusion models", "url": "https://arxiv.org/html/2504.11827#bib.bib37", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[37]", "bibliographyText": "[37] R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer. High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages 10684–10695, 2022.", "originalUrls": [] }, { "number": 38, "key": "bib.bib38", "title": "Planning with diffusion for flexible behavior synthesis", "url": "https://arxiv.org/abs/2205.09991", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[38]", "bibliographyText": "[38] M. Janner, Y. Du, J. B. Tenenbaum, and S. Levine. Planning with diffusion for flexible behavior synthesis. arXiv preprint arXiv:2205.09991 , 2022.", "originalUrls": [] }, { "number": 39, "key": "bib.bib39", "title": "Flow matching for generative modeling", "url": "https://arxiv.org/abs/2210.02747", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[39]", "bibliographyText": "[39] Y. Lipman, R. T. Chen, H. Ben-Hamu, M. Nickel, and M. Le. Flow matching for generative modeling. arXiv preprint arXiv:2210.02747 , 2022.", "originalUrls": [] }, { "number": 40, "key": "bib.bib40", "title": "Film: Visual reasoning with a general conditioning layer", "url": "https://arxiv.org/html/2504.11827#bib.bib40", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[40]", "bibliographyText": "[40] E. Perez, F. Strub, H. De Vries, V. Dumoulin, and A. Courville. Film: Visual reasoning with a general conditioning layer. In Proceedings of the AAAI conference on artificial intelligence , volume 32, 2018.", "originalUrls": [] }, { "number": 41, "key": "bib.bib41", "title": "Do as i can, not as i say: Grounding language in robotic affordances", "url": "https://arxiv.org/abs/2204.01691", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[41]", "bibliographyText": "[41] M. Ahn, A. Brohan, N. Brown, Y. Chebotar, O. Cortes, B. David, C. Finn, C. Fu, K. Gopalakrishnan, K. Hausman, et al. Do as i can, not as i say: Grounding language in robotic affordances. arXiv preprint arXiv:2204.01691 , 2022.", "originalUrls": [], "workId": "saycan" }, { "number": 42, "key": "bib.bib42", "title": "Bc-z: Zero-shot task generalization with robotic imitation learning", "url": "https://arxiv.org/html/2504.11827#bib.bib42", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[42]", "bibliographyText": "[42] E. Jang, A. Irpan, M. Khansari, D. Kappler, F. Ebert, C. Lynch, S. Levine, and C. Finn. Bc-z: Zero-shot task generalization with robotic imitation learning. In Conference on Robot Learning , pages 991–1002. PMLR, 2022.", "originalUrls": [], "workId": "bc-z" }, { "number": 43, "key": "bib.bib43", "title": "Mt-opt: Continuous multi-task robotic reinforcement learning at scale", "url": "https://arxiv.org/abs/2104.08212", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[43]", "bibliographyText": "[43] D. Kalashnikov, J. Varley, Y. Chebotar, B. Swanson, R. Jonschkowski, C. Finn, S. Levine, and K. Hausman. Mt-opt: Continuous multi-task robotic reinforcement learning at scale. arXiv preprint arXiv:2104.08212 , 2021.", "originalUrls": [] }, { "number": 44, "key": "bib.bib44", "title": "Openvla: An open-source vision-language-action model", "url": "https://arxiv.org/abs/2406.09246", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[44]", "bibliographyText": "[44] M. J. Kim, K. Pertsch, S. Karamcheti, T. Xiao, A. Balakrishna, S. Nair, R. Rafailov, E. Foster, G. Lam, P. Sanketi, et al. Openvla: An open-source vision-language-action model. arXiv preprint arXiv:2406.09246 , 2024.", "originalUrls": [], "workId": "openvla" }, { "number": 45, "key": "bib.bib45", "title": "Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation", "url": "https://arxiv.org/html/2504.11827#bib.bib45", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[45]", "bibliographyText": "[45] J. Wen, Y. Zhu, J. Li, M. Zhu, Z. Tang, K. Wu, Z. Xu, N. Liu, R. Cheng, C. Shen, et al. Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation. IEEE Robotics and Automation Letters , 2025.", "originalUrls": [], "workId": "tinyvla" }, { "number": 46, "key": "bib.bib46", "title": "Behavior transformers: Cloning k k modes with one stone", "url": "https://arxiv.org/abs/2206.11251", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[46]", "bibliographyText": "[46] N. M. M. Shafiullah, Z. J. Cui, A. Altanzaya, and L. Pinto. Behavior transformers: Cloning k k modes with one stone, 2022. URL https://arxiv.org/abs/2206.11251 .", "originalUrls": [ "https://arxiv.org/abs/2206.11251" ] }, { "number": 47, "key": "bib.bib47", "title": "Learning fine-grained bimanual manipulation with low-cost hardware", "url": "https://arxiv.org/abs/2304.13705", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[47]", "bibliographyText": "[47] T. Z. Zhao, V. Kumar, S. Levine, and C. Finn. Learning fine-grained bimanual manipulation with low-cost hardware, 2023. URL https://arxiv.org/abs/2304.13705 .", "originalUrls": [ "https://arxiv.org/abs/2304.13705" ], "workId": "act" }, { "number": 48, "key": "bib.bib48", "title": "The State of Robot Motion Generation, Dec", "url": "https://arxiv.org/abs/2410.12172", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[48]", "bibliographyText": "[48] K. E. Bekris, J. Doerr, P. Meng, and S. Tangirala. The State of Robot Motion Generation, Dec. 2024. URL http://arxiv.org/abs/2410.12172 . arXiv:2410.12172 [cs].", "originalUrls": [ "http://arxiv.org/abs/2410.12172" ] }, { "number": 49, "key": "bib.bib49", "title": "Data scaling laws in imitation learning for robotic manipulation", "url": "https://arxiv.org/abs/2410.18647", "role": "reference", "status": "adjacent-resource", "note": "General robot data-scaling analysis; relevant experimental context, without a new tactile/depth benchmark or executable manipulation method established by this citation.", "sourceLabel": "[49]", "bibliographyText": "[49] F. Lin, Y. Hu, P. Sheng, C. Wen, J. You, and Y. Gao. Data scaling laws in imitation learning for robotic manipulation, 2025. URL https://arxiv.org/abs/2410.18647 .", "originalUrls": [ "https://arxiv.org/abs/2410.18647" ] }, { "number": 50, "key": "bib.bib50", "title": "Tactile sensing and control of robotic manipulation", "url": "http://dx.doi.org/10.1163/156855394X00356", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[50]", "bibliographyText": "[50] R. D. Howe. Tactile sensing and control of robotic manipulation. Advanced Robotics , 8(3):245–261, 1993. doi: 10.1163/156855394X00356 . URL https://doi.org/10.1163/156855394X00356 .", "originalUrls": [ "http://dx.doi.org/10.1163/156855394X00356", "https://doi.org/10.1163/156855394X00356" ] }, { "number": 51, "key": "bib.bib51", "title": "Tactile Sensing—From Humans to Humanoids", "url": "http://dx.doi.org/10.1109/TRO.2009.2033627", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[51]", "bibliographyText": "[51] R. S. Dahiya, G. Metta, M. Valle, and G. Sandini. Tactile Sensing—From Humans to Humanoids. IEEE Transactions on Robotics , 26(1):1–20, Feb. 2010. ISSN 1941-0468. doi: 10.1109/TRO.2009.2033627 . URL https://ieeexplore.ieee.org/document/5339133/?arnumber=5339133&tag=1 . Conference Name: IEEE Transactions on Robotics.", "originalUrls": [ "http://dx.doi.org/10.1109/TRO.2009.2033627", "https://ieeexplore.ieee.org/document/5339133/?arnumber=5339133&tag=1" ] }, { "number": 52, "key": "bib.bib52", "title": "Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision?", "url": "http://dx.doi.org/10.1080/01691864.2019.1632222", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[52]", "bibliographyText": "[52] A. Yamaguchi and C. G. Atkeson. Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision? Advanced Robotics , 33(14):661–673, July 2019. ISSN 0169-1864, 1568-5535. doi: 10.1080/01691864.2019.1632222 . URL https://www.tandfonline.com/doi/full/10.1080/01691864.2019.1632222 .", "originalUrls": [ "http://dx.doi.org/10.1080/01691864.2019.1632222", "https://www.tandfonline.com/doi/full/10.1080/01691864.2019.1632222" ] }, { "number": 53, "key": "bib.bib53", "title": "A Survey of Robot Manipulation in Contact", "url": "https://arxiv.org/abs/2112.01942", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[53]", "bibliographyText": "[53] M. Suomalainen, Y. Karayiannidis, and V. Kyrki. A Survey of Robot Manipulation in Contact. Robotics and Autonomous Systems , 156:104224, Oct. 2022. ISSN 09218890. doi: 10.1016/j.robot.2022.104224 . URL http://arxiv.org/abs/2112.01942 . arXiv:2112.01942 [cs].", "originalUrls": [ "http://dx.doi.org/10.1016/j.robot.2022.104224", "http://arxiv.org/abs/2112.01942" ] }, { "number": 54, "key": "bib.bib54", "title": "Tactile sensing for Robot Learning: Development to Deployment ", "url": "https://kilthub.cmu.edu/ndownloader/files/49565013", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[54]", "bibliographyText": "[54] R. M. Bhirangi. Tactile sensing for Robot Learning: Development to Deployment . PhD Thesis, Carnegie Mellon University, 2024. URL https://kilthub.cmu.edu/ndownloader/files/49565013 .", "originalUrls": [ "https://kilthub.cmu.edu/ndownloader/files/49565013" ] }, { "number": 55, "key": "bib.bib55", "title": "A comprehensive review of robot intelligent grasping based on tactile perception", "url": "http://dx.doi.org/10.1016/j.rcim.2024.102792", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[55]", "bibliographyText": "[55] T. Li, Y. Yan, C. Yu, J. An, Y. Wang, and G. Chen. A comprehensive review of robot intelligent grasping based on tactile perception. Robotics and Computer-Integrated Manufacturing , 90:102792, Dec. 2024. ISSN 0736-5845. doi: 10.1016/j.rcim.2024.102792 . URL https://www.sciencedirect.com/science/article/pii/S0736584524000796 .", "originalUrls": [ "http://dx.doi.org/10.1016/j.rcim.2024.102792", "https://www.sciencedirect.com/science/article/pii/S0736584524000796" ] }, { "number": 56, "key": "bib.bib56", "title": "Texture recognition and localization in amorphous robotic skin", "url": "https://arxiv.org/html/2504.11827#bib.bib56", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[56]", "bibliographyText": "[56] D. Hughes and N. Correll. Texture recognition and localization in amorphous robotic skin. Bioinspiration & biomimetics , 10(5):055002, 2015.", "originalUrls": [] }, { "number": 57, "key": "bib.bib57", "title": "A robotic skin for collision avoidance and affective touch recognition", "url": "https://arxiv.org/html/2504.11827#bib.bib57", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[57]", "bibliographyText": "[57] D. Hughes, J. Lammie, and N. Correll. A robotic skin for collision avoidance and affective touch recognition. IEEE Robotics and Automation Letters , 3(3):1386–1393, 2018.", "originalUrls": [] }, { "number": 58, "key": "bib.bib58", "title": "Soft robotics: Review of fluid-driven intrinsically soft devices; manufacturing, sensing, control, and applications in human-robot interaction", "url": "https://arxiv.org/html/2504.11827#bib.bib58", "role": "reference", "status": "adjacent-resource", "note": "Related review, thesis, or field perspective retained as a discovery source; its cited methods require independent original-source review and are not automatically included as policies.", "sourceLabel": "[58]", "bibliographyText": "[58] P. Polygerinos, N. Correll, S. A. Morin, B. Mosadegh, C. D. Onal, K. Petersen, M. Cianchetti, M. T. Tolley, and R. F. Shepherd. Soft robotics: Review of fluid-driven intrinsically soft devices; manufacturing, sensing, control, and applications in human-robot interaction. Advanced engineering materials , 19(12):1700016, 2017.", "originalUrls": [] }, { "number": 59, "key": "bib.bib59", "title": "Improving grasp performance using in-hand proximity and dynamic tactile sensing", "url": "https://arxiv.org/html/2504.11827#bib.bib59", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[59]", "bibliographyText": "[59] R. Patel, J. C. Alastuey, and N. Correll. Improving grasp performance using in-hand proximity and dynamic tactile sensing. In 2016 International Symposium on Experimental Robotics , pages 185–194. Springer, 2017.", "originalUrls": [] }, { "number": 60, "key": "bib.bib60", "title": "The feeling of success: Does touch sensing help predict grasp outcomes?", "url": "https://arxiv.org/abs/1710.05512", "role": "reference", "status": "adjacent-resource", "note": "Task-specific material/object/texture recognition, grasp-outcome prediction, cross-modal perception, or sensing interaction; adjacent perception evidence without a verified broadly reusable encoder or action-selecting manipulation system.", "sourceLabel": "[60]", "bibliographyText": "[60] R. Calandra, A. Owens, M. Upadhyaya, W. Yuan, J. Lin, E. H. Adelson, and S. Levine. The feeling of success: Does touch sensing help predict grasp outcomes? arXiv preprint arXiv:1710.05512 , 2017.", "originalUrls": [] }, { "number": 61, "key": "bib.bib61", "title": "See, hear, and feel: Smart sensory fusion for robotic manipulation", "url": "https://arxiv.org/abs/2212.03858", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[61]", "bibliographyText": "[61] H. Li, Y. Zhang, J. Zhu, S. Wang, M. A. Lee, H. Xu, E. Adelson, L. Fei-Fei, R. Gao, and J. Wu. See, hear, and feel: Smart sensory fusion for robotic manipulation, 2022. URL https://arxiv.org/abs/2212.03858 .", "originalUrls": [ "https://arxiv.org/abs/2212.03858" ] }, { "number": 62, "key": "bib.bib62", "title": "Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks, Mar", "url": "https://arxiv.org/abs/1810.10191", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[62]", "bibliographyText": "[62] M. A. Lee, Y. Zhu, K. Srinivasan, P. Shah, S. Savarese, L. Fei-Fei, A. Garg, and J. Bohg. Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks, Mar. 2019. URL http://arxiv.org/abs/1810.10191 . arXiv:1810.10191 [cs].", "originalUrls": [ "http://arxiv.org/abs/1810.10191" ], "workId": "making-sense-vision-touch" }, { "number": 63, "key": "bib.bib63", "title": "Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation, Oct", "url": "https://arxiv.org/abs/2408.01366", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[63]", "bibliographyText": "[63] R. Feng, D. Hu, W. Ma, and X. Li. Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation, Oct. 2024. URL http://arxiv.org/abs/2408.01366 . arXiv:2408.01366 [cs].", "originalUrls": [ "http://arxiv.org/abs/2408.01366" ] }, { "number": 64, "key": "bib.bib64", "title": "Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins, Oct", "url": "https://arxiv.org/abs/2410.17246", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[64]", "bibliographyText": "[64] V. Pattabiraman, Y. Cao, S. Haldar, L. Pinto, and R. Bhirangi. Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins, Oct. 2024. URL http://arxiv.org/abs/2410.17246 . arXiv:2410.17246.", "originalUrls": [ "http://arxiv.org/abs/2410.17246" ], "workId": "visk" }, { "number": 65, "key": "bib.bib65", "title": "Dexforce: Extracting force-informed actions from kinesthetic demonstrations for dexterous manipulation", "url": "https://arxiv.org/abs/2501.10356", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[65]", "bibliographyText": "[65] C. Chen, Z. Yu, H. Choi, M. Cutkosky, and J. Bohg. Dexforce: Extracting force-informed actions from kinesthetic demonstrations for dexterous manipulation, 2025. URL https://arxiv.org/abs/2501.10356 .", "originalUrls": [ "https://arxiv.org/abs/2501.10356" ] }, { "number": 66, "key": "bib.bib66", "title": "Factr: Force-attending curriculum training for contact-rich policy learning", "url": "https://arxiv.org/abs/2502.17432", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[66]", "bibliographyText": "[66] J. J. Liu, Y. Li, K. Shaw, T. Tao, R. Salakhutdinov, and D. Pathak. Factr: Force-attending curriculum training for contact-rich policy learning, 2025. URL https://arxiv.org/abs/2502.17432 .", "originalUrls": [ "https://arxiv.org/abs/2502.17432" ], "workId": "factr" }, { "number": 67, "key": "bib.bib67", "title": "Just add force for delicate robot policies", "url": "https://openreview.net/pdf?id=GSEs7MCnoi", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[67]", "bibliographyText": "[67] W. Xie, S. Caldararu, and N. Correll. Just add force for delicate robot policies. In CoRL 2024 Workshop on Mastering Robot Manipulation in a World of Abundant Data , 2024. URL https://openreview.net/pdf?id=GSEs7MCnoi .", "originalUrls": [ "https://openreview.net/pdf?id=GSEs7MCnoi" ] }, { "number": 68, "key": "bib.bib68", "title": "Force and torque sensors – why are they of interest in robotics?", "url": "https://reachrobotics.com/blog/force-and-torque-ft-why-are-they-of-interest-in-robotics/", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[68]", "bibliographyText": "[68] R. Robotics. Force and torque sensors – why are they of interest in robotics?, 2023. URL https://reachrobotics.com/blog/force-and-torque-ft-why-are-they-of-interest-in-robotics/ .", "originalUrls": [ "https://reachrobotics.com/blog/force-and-torque-ft-why-are-they-of-interest-in-robotics/" ] }, { "number": 69, "key": "bib.bib69", "title": "Droid: A large-scale in-the-wild robot manipulation dataset", "url": "https://arxiv.org/html/2504.11827#bib.bib69", "role": "reference", "status": "adjacent-resource", "note": "Supporting tactile/multisensory dataset, calibration labels, or general robot data corpus; no new executable action policy inferred from this bibliography citation. Resource details remain independently unreviewed here.", "sourceLabel": "[69]", "bibliographyText": "[69] A. Khazatsky, K. Pertsch, S. Nair, A. Balakrishna, S. Dasari, S. Karamcheti, S. Nasiriany, M. K. Srirama, L. Y. Chen, K. Ellis, P. D. Fagan, J. Hejna, M. Itkina, M. Lepert, Y. J. Ma, P. T. Miller, J. Wu, S. Belkhale, S. Dass, H. Ha, A. Jain, A. Lee, Y. Lee, M. Memmel, S. Park, I. Radosavovic, K. Wang, A. Zhan, K. Black, C. Chi, K. B. Hatch, S. Lin, J. Lu, J. Mercat, A. Rehman, P. R. Sanketi, A. Sharma, C. Simpson, Q. Vuong, H. R. Walke, B. Wulfe, T. Xiao, J. H. Yang, A. Yavary, T. Z. Zhao, C. Agia, R. Baijal, M. G. Castro, D. Chen, Q. Chen, T. Chung, J. Drake, E. P. Foster, J. Gao, D. A. Herrera, M. Heo, K. Hsu, J. Hu, D. Jackson, C. Le, Y. Li, K. Lin, R. Lin, Z. Ma, A. Maddukuri, S. Mirchandani, D. Morton, T. Nguyen, A. O’Neill, R. Scalise, D. Seale, V. Son, S. Tian, E. Tran, A. E. Wang, Y. Wu, A. Xie, J. Yang, P. Yin, Y. Zhang, O. Bastani, G. Berseth, J. Bohg, K. Goldberg, A. Gupta, A. Gupta, D. Jayaraman, J. J. Lim, J. Malik, R. Martín-Martín, S. Ramamoorthy, D. Sadigh, S. Song, J. Wu, M. C. Yip, Y. Zhu,\nT. Kollar, S. Levine, and C. Finn. Droid: A large-scale in-the-wild robot manipulation dataset. 2024.", "originalUrls": [] }, { "number": 70, "key": "bib.bib70", "title": "Where are we in the search for an artificial visual cortex for embodied intelligence?", "url": "https://arxiv.org/abs/2303.18240", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[70]", "bibliographyText": "[70] A. Majumdar, K. Yadav, S. Arnaud, Y. J. Ma, C. Chen, S. Silwal, A. Jain, V.-P. Berges, P. Abbeel, J. Malik, D. Batra, Y. Lin, O. Maksymets, A. Rajeswaran, and F. Meier. Where are we in the search for an artificial visual cortex for embodied intelligence?, 2024. URL https://arxiv.org/abs/2303.18240 .", "originalUrls": [ "https://arxiv.org/abs/2303.18240" ] }, { "number": 71, "key": "bib.bib71", "title": "Octo: An open-source generalist robot policy", "url": "https://arxiv.org/html/2504.11827#bib.bib71", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[71]", "bibliographyText": "[71] Octo Model Team, D. Ghosh, H. Walke, K. Pertsch, K. Black, O. Mees, S. Dasari, J. Hejna, C. Xu, J. Luo, T. Kreiman, Y. Tan, L. Y. Chen, P. Sanketi, Q. Vuong, T. Xiao, D. Sadigh, C. Finn, and S. Levine. Octo: An open-source generalist robot policy. In Proceedings of Robotics: Science and Systems , Delft, Netherlands, 2024.", "originalUrls": [], "workId": "octo" }, { "number": 72, "key": "bib.bib72", "title": "Robotic control via embodied chain-of-thought reasoning", "url": "https://arxiv.org/abs/2407.08693", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[72]", "bibliographyText": "[72] M. Zawalski, W. Chen, K. Pertsch, O. Mees, C. Finn, and S. Levine. Robotic control via embodied chain-of-thought reasoning, 2024. URL https://arxiv.org/abs/2407.08693 .", "originalUrls": [ "https://arxiv.org/abs/2407.08693" ] }, { "number": 73, "key": "bib.bib73", "title": "Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation", "url": "https://arxiv.org/abs/2409.12514", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[73]", "bibliographyText": "[73] J. Wen, Y. Zhu, J. Li, M. Zhu, K. Wu, Z. Xu, N. Liu, R. Cheng, C. Shen, Y. Peng, F. Feng, and J. Tang. Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation, 2024. URL https://arxiv.org/abs/2409.12514 .", "originalUrls": [ "https://arxiv.org/abs/2409.12514" ], "workId": "tinyvla" }, { "number": 74, "key": "bib.bib74", "title": "Behavior generation with latent actions", "url": "https://arxiv.org/abs/2403.03181", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[74]", "bibliographyText": "[74] S. Lee, Y. Wang, H. Etukuru, H. J. Kim, N. M. M. Shafiullah, and L. Pinto. Behavior generation with latent actions, 2024. URL https://arxiv.org/abs/2403.03181 .", "originalUrls": [ "https://arxiv.org/abs/2403.03181" ] }, { "number": 75, "key": "bib.bib75", "title": "Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor, Dec", "url": "https://arxiv.org/abs/2311.01248", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[75]", "bibliographyText": "[75] T. Ablett, O. Limoyo, A. Sigal, A. Jilani, J. Kelly, K. Siddiqi, F. Hogan, and G. Dudek. Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor, Dec. 2024. URL http://arxiv.org/abs/2311.01248 . arXiv:2311.01248 [cs].", "originalUrls": [ "http://arxiv.org/abs/2311.01248" ] }, { "number": 76, "key": "bib.bib76", "title": "Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation, Oct", "url": "https://arxiv.org/abs/2410.19235", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[76]", "bibliographyText": "[76] M. Aburub, C. C. Beltran-Hernandez, T. Kamijo, and M. Hamaya. Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation, Oct. 2024. URL http://arxiv.org/abs/2410.19235 . arXiv:2410.19235 [cs].", "originalUrls": [ "http://arxiv.org/abs/2410.19235" ] }, { "number": 77, "key": "bib.bib77", "title": "FoAR: Force-Aware Reactive Policy for Contact-Rich Robotic Manipulation, Nov", "url": "https://arxiv.org/abs/2411.15753", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[77]", "bibliographyText": "[77] Z. He, H. Fang, J. Chen, H.-S. Fang, and C. Lu. FoAR: Force-Aware Reactive Policy for Contact-Rich Robotic Manipulation, Nov. 2024. URL http://arxiv.org/abs/2411.15753 . arXiv:2411.15753 [cs] version: 1.", "originalUrls": [ "http://arxiv.org/abs/2411.15753" ], "workId": "foar" }, { "number": 78, "key": "bib.bib78", "title": "Adaptive compliance policy: Learning approximate compliance for diffusion guided control", "url": "https://arxiv.org/abs/2410.09309", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[78]", "bibliographyText": "[78] Y. Hou, Z. Liu, C. Chi, E. Cousineau, N. Kuppuswamy, S. Feng, B. Burchfiel, and S. Song. Adaptive compliance policy: Learning approximate compliance for diffusion guided control, 2024. URL https://arxiv.org/abs/2410.09309 .", "originalUrls": [ "https://arxiv.org/abs/2410.09309" ] }, { "number": 79, "key": "bib.bib79", "title": "3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing", "url": "https://openreview.net/forum?id=bk28WlkqZn", "role": "policy", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[79]", "bibliographyText": "[79] B. Huang, Y. Wang, X. Yang, Y. Luo, and Y. Li. 3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing. Sept. 2024. URL https://openreview.net/forum?id=bk28WlkqZn .", "originalUrls": [ "https://openreview.net/forum?id=bk28WlkqZn" ], "workId": "3d-vitac" }, { "number": 80, "key": "bib.bib80", "title": "Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding, Jan", "url": "https://arxiv.org/abs/2501.04693", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[80]", "bibliographyText": "[80] J. Jones, O. Mees, C. Sferrazza, K. Stachowicz, P. Abbeel, and S. Levine. Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding, Jan. 2025. URL http://arxiv.org/abs/2501.04693 . arXiv:2501.04693 [cs].", "originalUrls": [ "http://arxiv.org/abs/2501.04693" ], "workId": "fuse" }, { "number": 81, "key": "bib.bib81", "title": "ALPHA and Bi-ACT Are All You Need: Importance of Position and Force Information/Control for Imitation Learning of Unimanual and Bimanual Robotic Manipulation with Low-Cost System, Dec", "url": "https://arxiv.org/abs/2411.09942", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[81]", "bibliographyText": "[81] M. Kobayashi, T. Buamanee, and T. Kobayashi. ALPHA and Bi-ACT Are All You Need: Importance of Position and Force Information/Control for Imitation Learning of Unimanual and Bimanual Robotic Manipulation with Low-Cost System, Dec. 2024. URL http://arxiv.org/abs/2411.09942 . arXiv:2411.09942 [cs].", "originalUrls": [ "http://arxiv.org/abs/2411.09942" ] }, { "number": 82, "key": "bib.bib82", "title": "Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks, Oct", "url": "https://arxiv.org/abs/2410.23860", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[82]", "bibliographyText": "[82] J. Lenz, T. Gruner, D. Palenicek, T. Schneider, and J. Peters. Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks, Oct. 2024. URL http://arxiv.org/abs/2410.23860 . arXiv:2410.23860 [cs].", "originalUrls": [ "http://arxiv.org/abs/2410.23860" ] }, { "number": 83, "key": "bib.bib83", "title": "Maniwav: Learning robot manipulation from in-the-wild audio-visual data, 2024a", "url": "https://arxiv.org/abs/2406.19464", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[83]", "bibliographyText": "[83] Z. Liu, C. Chi, E. Cousineau, N. Kuppuswamy, B. Burchfiel, and S. Song. Maniwav: Learning robot manipulation from in-the-wild audio-visual data, 2024a. URL https://arxiv.org/abs/2406.19464 .", "originalUrls": [ "https://arxiv.org/abs/2406.19464" ] }, { "number": 84, "key": "bib.bib84", "title": "ForceMimic: Force-Centric Imitation Learning with Force-Motion Capture System for Contact-Rich Manipulation, Oct. 2024b", "url": "https://arxiv.org/abs/2410.07554", "role": "policy", "status": "indexed", "note": "Original-source identity reconciled to the independently reviewed canonical/late-batch record by original arXiv identifier. Scientific details and release scope are supported by that record; the containing bibliography URL is provenance only.", "sourceLabel": "[84]", "bibliographyText": "[84] W. Liu, J. Wang, Y. Wang, W. Wang, and C. Lu. ForceMimic: Force-Centric Imitation Learning with Force-Motion Capture System for Contact-Rich Manipulation, Oct. 2024b. URL http://arxiv.org/abs/2410.07554 . arXiv:2410.07554 [cs].", "originalUrls": [ "http://arxiv.org/abs/2410.07554" ], "workId": "forcemimic" }, { "number": 85, "key": "bib.bib85", "title": "Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation, May", "url": "https://arxiv.org/abs/2405.08576", "role": "reference", "status": "candidate", "note": "In-scope tactile representation, generation, transfer, or multisensory learning candidate. Original-paper training/evaluation details and actual downstream use still need review before a canonical model/policy record is added; title-level discovery is not executable-policy evidence.", "sourceLabel": "[85]", "bibliographyText": "[85] J. Mejia, V. Dean, T. Hellebrekers, and A. Gupta. Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation, May 2024. URL http://arxiv.org/abs/2405.08576 . arXiv:2405.08576 [cs].", "originalUrls": [ "http://arxiv.org/abs/2405.08576" ] }, { "number": 86, "key": "bib.bib86", "title": "FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty, Aug", "url": "https://arxiv.org/abs/2408.04587", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[86]", "bibliographyText": "[86] M. Noseworthy, B. Tang, B. Wen, A. Handa, N. Roy, D. Fox, F. Ramos, Y. Narang, and I. Akinola. FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty, Aug. 2024. URL http://arxiv.org/abs/2408.04587 . arXiv:2408.04587 [cs].", "originalUrls": [ "http://arxiv.org/abs/2408.04587" ] }, { "number": 87, "key": "bib.bib87", "title": "EyeSight Hand: Design of a Fully-Actuated Dexterous Robot Hand with Integrated Vision-Based Tactile Sensors and Compliant Actuation, Aug", "url": "https://arxiv.org/abs/2408.06265", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[87]", "bibliographyText": "[87] B. Romero, H.-S. Fang, P. Agrawal, and E. Adelson. EyeSight Hand: Design of a Fully-Actuated Dexterous Robot Hand with Integrated Vision-Based Tactile Sensors and Compliant Actuation, Aug. 2024. URL http://arxiv.org/abs/2408.06265 . arXiv:2408.06265 [cs].", "originalUrls": [ "http://arxiv.org/abs/2408.06265" ] }, { "number": 88, "key": "bib.bib88", "title": "Poco: Policy composition from and for heterogeneous robot learning", "url": "https://arxiv.org/abs/2402.02511", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[88]", "bibliographyText": "[88] L. Wang, J. Zhao, Y. Du, E. H. Adelson, and R. Tedrake. Poco: Policy composition from and for heterogeneous robot learning, 2024. URL https://arxiv.org/abs/2402.02511 .", "originalUrls": [ "https://arxiv.org/abs/2402.02511" ] }, { "number": 89, "key": "bib.bib89", "title": "TacDiffusion: Force-domain Diffusion Policy for Precise Tactile Manipulation, Sept", "url": "https://arxiv.org/abs/2409.11047", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[89]", "bibliographyText": "[89] Y. Wu, Z. Chen, F. Wu, L. Chen, L. Zhang, Z. Bing, A. Swikir, A. Knoll, and S. Haddadin. TacDiffusion: Force-domain Diffusion Policy for Precise Tactile Manipulation, Sept. 2024. URL http://arxiv.org/abs/2409.11047 . arXiv:2409.11047 [cs].", "originalUrls": [ "http://arxiv.org/abs/2409.11047" ], "workId": "tacdiffusion" }, { "number": 90, "key": "bib.bib90", "title": "UniT: Unified Tactile Representation for Robot Learning, Aug", "url": "https://arxiv.org/abs/2408.06481", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[90]", "bibliographyText": "[90] Z. Xu, R. Uppuluri, X. Zhang, C. Fitch, P. G. Crandall, W. Shou, D. Wang, and Y. She. UniT: Unified Tactile Representation for Robot Learning, Aug. 2024. URL http://arxiv.org/abs/2408.06481 . arXiv:2408.06481 [cs].", "originalUrls": [ "http://arxiv.org/abs/2408.06481" ], "workId": "unit" }, { "number": 91, "key": "bib.bib91", "title": "MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation, Sept", "url": "https://arxiv.org/abs/2310.16917", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[91]", "bibliographyText": "[91] K. Yu, Y. Han, Q. Wang, V. Saxena, D. Xu, and Y. Zhao. MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation, Sept. 2024. URL http://arxiv.org/abs/2310.16917 . arXiv:2310.16917 [cs].", "originalUrls": [ "http://arxiv.org/abs/2310.16917" ], "workId": "mimictouch" }, { "number": 92, "key": "bib.bib92", "title": "Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks, Oct", "url": "https://arxiv.org/abs/2406.13640", "role": "model", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[92]", "bibliographyText": "[92] J. Zhao, Y. Ma, L. Wang, and E. H. Adelson. Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks, Oct. 2024. URL http://arxiv.org/abs/2406.13640 . arXiv:2406.13640.", "originalUrls": [ "http://arxiv.org/abs/2406.13640" ], "workId": "t3" }, { "number": 93, "key": "bib.bib93", "title": "Admittance Visuomotor Policy Learning for General-Purpose Contact-Rich Manipulations, Nov", "url": "https://arxiv.org/abs/2409.14440", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[93]", "bibliographyText": "[93] B. Zhou, R. Jiao, Y. Li, X. Yuan, F. Fang, and S. Li. Admittance Visuomotor Policy Learning for General-Purpose Contact-Rich Manipulations, Nov. 2024. URL http://arxiv.org/abs/2409.14440 . arXiv:2409.14440 [cs].", "originalUrls": [ "http://arxiv.org/abs/2409.14440" ] }, { "number": 94, "key": "bib.bib94", "title": "Gelsight: High-resolution robot tactile sensors for estimating geometry and force", "url": "https://arxiv.org/html/2504.11827#bib.bib94", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[94]", "bibliographyText": "[94] W. Yuan, S. Dong, and E. H. Adelson. Gelsight: High-resolution robot tactile sensors for estimating geometry and force. Sensors , 17(12):2762, 2017.", "originalUrls": [] }, { "number": 95, "key": "bib.bib95", "title": "Reactive diffusion policy: Slow-fast visual-tactile policy learning for contact-rich manipulation", "url": "https://arxiv.org/abs/2503.02881", "role": "policy", "status": "indexed", "note": "Matched to a reviewed canonical record by its original arXiv identifier; model/policy specifications retain independent original-source evidence.", "sourceLabel": "[95]", "bibliographyText": "[95] H. Xue, J. Ren, W. Chen, G. Zhang, Y. Fang, G. Gu, H. Xu, and C. Lu. Reactive diffusion policy: Slow-fast visual-tactile policy learning for contact-rich manipulation, 2025. URL https://arxiv.org/abs/2503.02881 .", "originalUrls": [ "https://arxiv.org/abs/2503.02881" ], "workId": "reactive-diffusion-policy" }, { "number": 96, "key": "bib.bib96", "title": "Few-shot sim2real based on high fidelity rendering with force feedback teleoperation", "url": "https://arxiv.org/abs/2503.01301", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[96]", "bibliographyText": "[96] Y. Zou, J. Huang, B. Liang, H. Guo, Z. Liu, X. Ma, J. Zhou, and M. Tomizuka. Few-shot sim2real based on high fidelity rendering with force feedback teleoperation, 2025. URL https://arxiv.org/abs/2503.01301 .", "originalUrls": [ "https://arxiv.org/abs/2503.01301" ] }, { "number": 97, "key": "bib.bib97", "title": "Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection, Oct", "url": "https://arxiv.org/abs/2410.19141", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[97]", "bibliographyText": "[97] M. Hagenow, D. Kontogiorgos, Y. Wang, and J. Shah. Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection, Oct. 2024. URL http://arxiv.org/abs/2410.19141 . arXiv:2410.19141 [cs].", "originalUrls": [ "http://arxiv.org/abs/2410.19141" ] }, { "number": 98, "key": "bib.bib98", "title": "Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots", "url": "https://arxiv.org/abs/2402.10329", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[98]", "bibliographyText": "[98] C. Chi, Z. Xu, C. Pan, E. Cousineau, B. Burchfiel, S. Feng, R. Tedrake, and S. Song. Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots, 2024. URL https://arxiv.org/abs/2402.10329 .", "originalUrls": [ "https://arxiv.org/abs/2402.10329" ] }, { "number": 99, "key": "bib.bib99", "title": "Robot fleet learning via policy merging", "url": "https://arxiv.org/abs/2310.01362", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[99]", "bibliographyText": "[99] L. Wang, K. Zhang, A. Zhou, M. Simchowitz, and R. Tedrake. Robot fleet learning via policy merging, 2024. URL https://arxiv.org/abs/2310.01362 .", "originalUrls": [ "https://arxiv.org/abs/2310.01362" ] }, { "number": 100, "key": "bib.bib100", "title": "A Touch, Vision, and Language Dataset for Multimodal Alignment", "url": "https://tactile-vlm.github.io/", "role": "model", "status": "indexed", "note": "Canonical original work matched by arXiv identity or normalized title; original model/policy evidence is retained in its own record.", "sourceLabel": "[100]", "bibliographyText": "[100] L. Fu, G. Datta, H. Huang, W. C.-H. Panitch, J. Drake, J. Ortiz, M. Mukadam, M. Lambeta, R. Calandra, and K. Goldberg. A Touch, Vision, and Language Dataset for Multimodal Alignment. URL https://tactile-vlm.github.io/ .", "originalUrls": [ "https://tactile-vlm.github.io/" ], "workId": "tvl" }, { "number": 101, "key": "bib.bib101", "title": "An image is worth 16x16 words: Transformers for image recognition at scale", "url": "https://arxiv.org/abs/2010.11929", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[101]", "bibliographyText": "[101] A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, J. Uszkoreit, and N. Houlsby. An image is worth 16x16 words: Transformers for image recognition at scale, 2021. URL https://arxiv.org/abs/2010.11929 .", "originalUrls": [ "https://arxiv.org/abs/2010.11929" ] }, { "number": 102, "key": "bib.bib102", "title": "Anyskin: Plug-and-play skin sensing for robotic touch", "url": "https://arxiv.org/abs/2409.08276", "role": "reference", "status": "adjacent-resource", "note": "Tactile sensor/skin, sensing material, or hardware design reference; adjacent enabling resource rather than a separately verified reusable encoder or executable manipulation policy.", "sourceLabel": "[102]", "bibliographyText": "[102] R. Bhirangi, V. Pattabiraman, E. Erciyes, Y. Cao, T. Hellebrekers, and L. Pinto. Anyskin: Plug-and-play skin sensing for robotic touch, 2024. URL https://arxiv.org/abs/2409.08276 .", "originalUrls": [ "https://arxiv.org/abs/2409.08276" ] }, { "number": 103, "key": "bib.bib103", "title": "Surprisingly robust in-hand manipulation: An empirical study", "url": "https://arxiv.org/abs/2201.11503", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[103]", "bibliographyText": "[103] A. Bhatt, A. Sieler, S. Puhlmann, and O. Brock. Surprisingly robust in-hand manipulation: An empirical study. arXiv preprint arXiv:2201.11503 , 2022.", "originalUrls": [] }, { "number": 104, "key": "bib.bib104", "title": "Dexteritygen: Foundation controller for unprecedented dexterity", "url": "https://arxiv.org/abs/2502.04307", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[104]", "bibliographyText": "[104] Z.-H. Yin, C. Wang, L. Pineda, F. Hogan, K. Bodduluri, A. Sharma, P. Lancaster, I. Prasad, M. Kalakrishnan, J. Malik, et al. Dexteritygen: Foundation controller for unprecedented dexterity. arXiv preprint arXiv:2502.04307 , 2025.", "originalUrls": [] }, { "number": 105, "key": "bib.bib105", "title": "Helix: A vision-language-action model for generalist humanoid control", "url": "https://www.figure.ai/news/helix", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[105]", "bibliographyText": "[105] F. AI. Helix: A vision-language-action model for generalist humanoid control, 2025. URL https://www.figure.ai/news/helix .", "originalUrls": [ "https://www.figure.ai/news/helix" ] }, { "number": 106, "key": "bib.bib106", "title": "Meta-control: Automatic model-based control synthesis for heterogeneous robot skills", "url": "https://openreview.net/forum?id=cvVEkS5yij", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[106]", "bibliographyText": "[106] T. Wei, L. Ma, R. Chen, W. Zhao, and C. Liu. Meta-control: Automatic model-based control synthesis for heterogeneous robot skills. In 8th Annual Conference on Robot Learning , 2024. URL https://openreview.net/forum?id=cvVEkS5yij .", "originalUrls": [ "https://openreview.net/forum?id=cvVEkS5yij" ] }, { "number": 107, "key": "bib.bib107", "title": "Action-free reasoning for policy generalization", "url": "https://arxiv.org/html/2504.11827#bib.bib107", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[107]", "bibliographyText": "[107] J. Clark, S. Mirchandani, D. Sadigh, and S. Belkhale. Action-free reasoning for policy generalization. In https://arxiv.org/abs/2403.01823 , 2025.", "originalUrls": [] }, { "number": 108, "key": "bib.bib108", "title": "Scaling up and distilling down: Language-guided robot skill acquisition", "url": "https://arxiv.org/abs/2307.14535", "role": "reference", "status": "candidate", "note": "In-scope manipulation/control, demonstration-transfer, or generalist robot-policy candidate identified in the bibliography. Original-source method, execution/evaluation and release details remain pending review; this disposition does not certify a runnable policy.", "sourceLabel": "[108]", "bibliographyText": "[108] H. Ha, P. Florence, and S. Song. Scaling up and distilling down: Language-guided robot skill acquisition, 2023. URL https://arxiv.org/abs/2307.14535 .", "originalUrls": [ "https://arxiv.org/abs/2307.14535" ] }, { "number": 109, "key": "bib.bib109", "title": "Will robots be bodies with brains or brains with bodies?", "url": "https://arxiv.org/html/2504.11827#bib.bib109", "role": "reference", "status": "background", "note": "Foundational machine learning, general control theory, human sensory biology, or general contextual reference; retained as background, not a separately reviewed RGBDT benchmark or manipulation method.", "sourceLabel": "[109]", "bibliographyText": "[109] Y. Mengüç, N. Correll, R. Kramer, and J. Paik. Will robots be bodies with brains or brains with bodies? Science robotics , 2(12):eaar4527, 2017.", "originalUrls": [] } ] } ] }