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Author

Jie Song

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Preprint Oct 2026

Perceive, Predict, and Plan: a Unified World Action Model for Egocentric Dexterous Manipulation

We introduce P$^{3}$-WAM, a unified world action model for egocentric dexterous manipulation that learns 3D perception, action-conditioned prediction, and goal-directed planning through three complementary modes: Perceive, which reconstructs articulated hand motion and camera trajectories from video; Predict, which gen...

Zi-Rui Wu, Chen Guo, Tian-Jian Jiang et al. · 0 citations
Jul 2026

PAKE: Learning Whole-Body Loco-Manipulation with Partial Kinematic Embeddings

This paper introduces a new Kinematic Normalizing Flow (KNF) model, trained on a large-scale kinematic dataset, that generates diverse yet feasible partial reference motions that effectively addresses whole-body control challenges by decomposing the complex loco-manipulation problem into partial reference motion genera...

Zhengmao He, Moonkyu Jung, Hyeongjun Kim et al. · 0 citations

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