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Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience

141 upvotes · 19 OCT 2026 · Tianqi Liu, Hanfei Zhao, Qifeng Liang et al.

This paper develops a world model that allows embodied agents to predict action consequences for both locomotion and manipulation across different robot and human embodiments. Practitioners might care about this research because it could lead to more sophisticated robots that can interact with their environment in a more human-like way.

embodied agentslocomotionmanipulationworld modelsmultimodal supervisionegocentric vision