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Dex4D: Task-Agnostic Point Track Policy for Zero-Shot Dexterous Manipulation
Learning generalist policies capable of accomplishing a wide range of everyday tasks remains an open challenge in dexterous manipulation. In particular, collecting large-scale manipulation data via real-world teleoperation is expensive and difficult to scale. While learning in simulation provides a
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