3 citations · 3 across the 9 of their papers we have counts for
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cs.RO2026
ReForce: Learning Force-aware Retargeting for Dexterous Manipulation
Yuhang Wu, Lingqi Zeng, Changwei Jing +2
Human demonstrations offer a scalable data source for dexterous manipulation, but transferring them to robot actions remains challenging due to the embodiment gap. Today's retarget…
cs.RO2025
\textsc{Gen2Real}: Towards Demo-Free Dexterous Manipulation by Harnessing Generated Video
Kai Ye, Yuhang Wu, Shuyuan Hu +4
Dexterous manipulation remains a challenging robotics problem, largely due to the difficulty of collecting extensive human demonstrations for learning. In this paper, we introduce…
cs.RO2024
Grasp What You Want: Embodied Dexterous Grasping System Driven by Your Voice
Junliang Li, Kai Ye, Haolan Kang +6
In recent years, as robotics has advanced, human-robot collaboration has gained increasing importance. However, current robots struggle to fully and accurately interpret human inte…