Author

Chu-Shan Zhang

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#artificial intelligence May 2026

EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control

EvoScene-VLA is introduced, which uses compact scene tokens to unify within-chunk scene prediction, cross-chunk state propagation, and observation-based correction and shows that a recurrent scene state alone does not necessarily improve performance, whereas state propagation can improve control when combined with geom...

Chu-Shan Zhang, Rui Lu, Jin-Guang Tong et al. · arXiv.org · 2 citations

#robotics Preprint Aug 2026

Keep the Future, Drop the Rollout: RIFT for World Action Models

World action models (WAMs) condition robot actions on predicted futures, but iterative video rollout increases deployment latency. We ask whether action generation requires the evolving rollout trajectory or only its future representation. Across four WAMs on 40 simulated robotic manipulation tasks, paired closed-loop...

Chu-Shan Zhang, Jin-Guang Tong, Xue-Song Li et al. · 3 citations