EgoTouch is a new multi-view egocentric dataset with dense bimanual tactile supervision, and TouchAnything is a baseline framework showing that wrist views improve vision-based tactile prediction over egocentric input alone.
A survey of robot manipu- lation in contact.Robotics and Autonomous Systems, 156, pp
3 Pith papers cite this work, alongside 141 external citations. Polarity classification is still indexing.
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A modular benchmark of 100 dexterous manipulation tasks across 3 arms and 6 hands with 3,180 demonstrations reveals that current policies (Diffusion Policy, DP3, OpenVLA, π0.5) achieve only 34% mean success, exposing unsolved challenges in contact-rich and precise manipulation.
Diffusion policies achieve 100% success on nominal mortise-tenon timber assembly and 75% average success under randomized 10 mm perturbations using force/torque sensing on an industrial robot.
citing papers explorer
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TouchAnything: A Dataset and Framework for Bimanual Tactile Estimation from Egocentric Video
EgoTouch is a new multi-view egocentric dataset with dense bimanual tactile supervision, and TouchAnything is a baseline framework showing that wrist views improve vision-based tactile prediction over egocentric input alone.
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DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation
A modular benchmark of 100 dexterous manipulation tasks across 3 arms and 6 hands with 3,180 demonstrations reveals that current policies (Diffusion Policy, DP3, OpenVLA, π0.5) achieve only 34% mean success, exposing unsolved challenges in contact-rich and precise manipulation.
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Contact-Rich Robotic Assembly in Construction via Diffusion Policy Learning
Diffusion policies achieve 100% success on nominal mortise-tenon timber assembly and 75% average success under randomized 10 mm perturbations using force/torque sensing on an industrial robot.