2 papers
cs.RO2026
SEED-UMI: Sharing the Exoskeleton between human and robot for onE-to-one Dexterous demonstration
Tengbo Yu, Jiahao Wu, Daohan Li +4
Imitation learning for dexterous hands is bottlenecked by the difficulty of collecting contact-rich demonstrations that transfer faithfully to the robot. Prior wearable-exoskeleton…
cs.RO2026
PRISM: Precision and contact-rich Real-world Industrial Skill dataset with Multimodal sensing
Tengbo Yu, Jiahao Wu, Hanning Wang +4
Recent progress in robotic learning has been fueled by large-scale datasets collected in everyday environments. However, most existing datasets emphasize short-horizon, low-contact…