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MVG-WAM: Multiple View Geometry-Aware World-Action Modeling for Robotic Manipulation
World-Action Models (WAMs) couple visual dynamics with action prediction, bringing the rich priors of pretrained video models to robotic manipulation. However, their multi-view interfaces typically tile images or concatenate tokens, leaving the geometric relationships among synchronized cameras impl
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