Captured human-object interactions provide rich supervision for humanoid loco-manipulation, but they are sparse, heterogeneous, and not directly executable by robots. We introduce InterMimicGen, a self-evolving motion-imitation framework in which robot motion data and a tracking policy improve each other. First, we con...
Yu-Chen Zhang, Sirui Xu, Jin-Hong Li et al.· 0 citations
Dexterous manipulation requires coordinated multi-finger control and effective tactile feedback, yet learning these capabilities remains challenging due to the lack of large-scale real-world data and the difficulty of extracting effective representations from sparse tactile signals. We build a robot platform and teleop...
Xiang-Cheng Liu, Tian-Hao Wu, Le Zheng et al.· 1 citation
Dexterous manipulation requires coordinated multi-finger control and effective tactile feedback, yet learning these capabilities remains challenging due to the lack of large-scale real-world data and the difficulty of extracting effective representations from sparse tactile signals. We build a robot platform and teleop...
Xiang-Cheng Liu, Tian-Hao Wu, Le Zheng et al.· 0 citations
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