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Peking University, Galbot, † Equal contribution * Corresponding author. Emails: shen.tao5@zte.com.cnAll authors are with ZTE Corporation, China
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Forget painstakingly labeled real-world data – GraspVLA proves you can train a surprisingly capable grasping foundation model on a billion frames of purely synthetic action data.
