Article

I3L: An Iterative Interactive Imitation Learning System for Whole-Body Mobile Manipulation

The research team proposes I3L, a hardware and software system that combines whole-body correction with iterative policy refinement to mitigate the out-of-distribution degradation of offline imitation learning policies in long-horizon whole-body mobile manipulation.

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