Author

Kevin Zhang

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Preprint Sep 2026

Token-World: World Modeling in Vision-Language Model Token Space for Robot Manipulation

Token-World is introduced, an action-conditioned world model that compresses VLM features into a compact token state, learns future dynamics in this reduced space, and maps predicted states back to the original policy-facing representation for downstream use.

Chu-Yao Fu, Xiao-Wei Chi, Yu-Han Rui et al. · 0 citations

Preprint Aug 2026

TrAct: Bridging Robot Control and Visual Prediction with Visual Tracks

TrAct is proposed, a world-model-based robot decision-making framework that uses visual tracks as an intermediate interface between control and prediction, enabling more accurate world modeling and stronger robot generalization.

Zhi-Hang Cao, Howard Ji, Kevin Zhang et al. · 3 citations