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Policy2026-04-22

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Source: Arxiv CS.AI

arXiv:2604.19734v1 Announce Type: cross Abstract: Scaling humanoid foundation models is bottlenecked by the scarcity of robotic data. While massive egocentric human data offers a scalable alternative, bridging the cross-embodiment chasm remains a fundamental challenge due to kinematic mismatches....

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