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Preprint Oct 2026

DeXplicit: Making Physical State Explicit in Dexterous Manipulation World Models

Before acting on an object, a robot needs to anticipate how its hand motion will change the physical world and what the resulting scene will look like. Existing approaches typically entangle action-conditioned dynamics, camera motion, and visual synthesis within a video generation model, or represent dynamics as point...

Adam Lee, Mu-Tian Xu, Yu-Kang Cao et al. · 0 citations

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