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DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation

87 upvotes · 13 AUG 2026 · DreamX Team, Rui Chen, Xiangxiang Chu et al.

This paper introduces a new AI model called DreamX-Phi 1.0 that can predict what will happen in a robotic manipulation scenario, given an initial state and instructions. This model is useful for robotics developers because it can help them design more reliable and efficient robotic systems.

robotic manipulationaction-conditioned modelsvideo world modelsscene geometryobject manipulationreinforcement learning