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DreamZero: World Action Models as Zero-Shot Robotic Policies
Introduces World Action Models (WAMs) that jointly predict video and actions via a 14B-parameter autoregressive diffusion model, enabling state-of-the-art zero-shot generalization on manipulation benchmarks like MolmoSpaces and RoboArena through emergent internal world modeling.
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By Shaoqing TanIntroduces World Action Models (WAMs) that jointly predict video and actions via a 14B-parameter autoregressive diffusion model, enabling state-of-the-art zero-shot generalization on manipulation benchmarks like MolmoSpaces and RoboArena through emergent internal world modeling.