I3L: Iterative Interactive Imitation Learning for Whole-Body Mobile Manipulation.
arXiv:2610.17748v2 Announce Type: replace-cross Abstract: Policies trained offline from teleoperated demonstrations can degrade outside their training distribution. This gap is particularly acute in long-horizon whole-body mobile manipulation, where long horiz
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