Wednesday, November 4, 2026
4 papers added this day. New papers stay for 14 days.
Tactile sensing 1
Dexterous manipulation 1
Imitation learning and data collection 2
AIRoA-0: Long-Horizon, Precise, Cross-Embodiment Manipulation from Handheld Data
November 2026
Pretrain a π0.5-based policy on 16,151 hours of handheld-gripper demonstrations with no robot data at all, then post-train it per task on a few hours of handheld data. On ten long bimanual tasks at a site outside its data, A-0 averages 78% success against 27% for the best of four post-trained VLA baselines.
PanoTac: A Dense Three-Axis Tactile Sensor for Robust Touch-Centric Manipulation
November 2026
A sub-$50 gripper fingertip that fuses a dense piezoresistive array with magnets and magnetometers into a 12x32 map of normal and shear force. With it, visuo-tactile diffusion policies reach 91.7% success on test-tube prep, grain scooping and salt pouring, against 45% for vision alone.
DexPort: A Hand-Held Skill Interface for Dexterous Hand Data Collection
October 2026
A hand-held rig that carries the robot's own 20-DoF hand and camera, so demonstrations need no retargeting. Simple joystick skills drive the fingers, and the commanded joint targets, not measured states, are logged as actions; that alone lifts policy success from 11% to 64%.
Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly?
June 2026
Pretrain one dexterous-hand RL policy by playing with a thousand random objects in simulation, then finetune it on sparse-reward assembly. Play2Perfect learns 33x faster than RL from scratch and transfers zero-shot to 0.5 mm insertions on a real robot.
Summaries are written automatically from each paper's text. Figures and videos come from the paper and its project page; all credit goes to the authors.