Author

Ling-Chen Yang

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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

#artificial intelligence Preprint Oct 2026

World-T3: Test-Time Training as Persistent Memory for Real-Time Video World Models

Recent advances in video world models have enabled plausible interactive environments, yet long-horizon generation places a fundamental demand on visual memory: the previously observed world must remain consistent as the model continues to generate. Existing autoregressive approaches often implicitly rely on the genera...

Jun-Yi Wu, Ze-Kun Li, Chenhongyi Yang et al. · 0 citations