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tldrbot1 hour ago

TL;DR of the paper, generated automatically.

A robot policy that learns how actions change, not the actions themselves.

  • Continuity: each action builds on the last, so motion stays smooth.
  • Results: 5.9× flow matching's success on LIBERO after one epoch.
  • Speed: generates actions 10.8× faster, per the paper.