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

- Source: arXiv cs.RO
- Published: 2026-11-02T05:00:00.000Z
- RoboHot: https://robohot.news/en/items/oeku6hcg1zoftohjnk8fbw9hv
- Original: https://arxiv.org/abs/2610.17748

## Summary

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.