4 citations · 8 across the 3 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.RO2026
DexTaG: Tactile-as-Guidance in Reinforcement Learning for Dexterous Manipulation
Han Yang, Yian Wang, Yunlong Song +2
Glove-based motion capture is emerging as a scalable approach to collecting dexterous-hand demonstration data. However, due to the kinematic gap between the human and robot hand, t…
cs.RO2026
TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation
Jielin Wu, Shenzhe Yao, Guanqi He +6
Human hand-object demonstrations provide dense reference motions for training dexterous manipulation reinforcement learning (RL) policies through reference tracking. However, to us…