Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching

T1Covered by 1 source · first reported by arXiv at 25 Sept, 04:00 UTC

arXiv:2609.28107v2 Announce Type: replace-cross Abstract: Advances in generative modeling have recently been extensively employed in robotics for policy learning. In particular, Conditional Flow Matching (CFM) trained with expert demonstrations has been shown to outperform existing methods on robot…

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• T1Distillation for Efficient Multitask Manipulation Policies via Conditional Flow MatchingarXiv25 Sept, 04:00