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Pretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent

Pikus, Benjamin et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognitionmachine-learningrobotics
A robot policy needs to understand what a task is asking for in a scene, and how to move the robot to accomplish that task. To achieve these two skills, we introduce Zero-real Agent Policy (ZAP), a recipe that teaches a small off-the-shelf vision-language model to control a robot via a simple tool h
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