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UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling
UniT unifies human and humanoid actions via visual anchoring into shared latent tokens for scalable policy learning and world modeling. It achieves state-of-the-art data efficiency, zero-shot transfer, and cross-embodiment dynamics alignment.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 32 on Hugging Face · Code ★ 103
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