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R3D: Revisiting 3D Policy Learning

Hong, Zhengdong et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionrobotics
3D policy learning promises superior generalization and cross-embodiment transfer, but progress has been hindered by training instabilities and severe overfitting, precluding the adoption of powerful 3D perception models. In this work, we systematically diagnose these failures, identifying the omiss
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