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World Action Agent: Harnessing VLMs for Robot Manipulation via World Action Rehearsal
General-purpose vision-language models (VLMs) bring broad knowledge and spatial reasoning to robot manipulation, yet existing systems either use them indirectly, to predict constraints or write programs, or give them a view of the scene rather than a world in which to act. We present World Action Ag
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