Zhi-Yang Chen

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.