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PhysDrift addresses embodiment gap in humanoid co-speech motion generation
PhysDrift identifies a fundamental embodiment gap in current humanoid co-speech motion generation, which relies on human-centric motion representations like SMPL-X before retargeting to robots. The work emphasizes the need for physically executable motions aligned with speech and robot embodiment c...
Bridging the embodiment gap is crucial for creating humanoid robots that can perform expressive, speech-aligned motions that are physically feasible. This advancement could improve human-robot interaction by making robot gestures more natural and synchronized with speech.
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Score 74
Source Type arxiv
Reposts 0
Topic Quality 56
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