DyPES-VLA Enables Cross-Embodiment Robot Manipulation via Shared Dynamics Priors

DyPES-VLA learns shared dynamics priors through a future-prediction objective, allowing a single VLA model to transfer skills across heterogeneous robot embodiments. It eliminates the need for extensive manual preprocessing of embodiment-specific actions.