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I3L proposes iterative interactive imitation learning for whole-body mobile manipulation robots

AIResearchers introduce I3L, an iterative interactive imitation learning method for whole-body mobile manipulation, aimed at closing the gap where long-horizon robot policies fail during deployment. The post links a project website and an arXiv paper, arXiv 2610.17748.
Wensi Ai
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Long-horizon, whole-body robot policies still fail during deployment. How do we best close this last-mile gap? 🤖

🚨 Introducing I3L: Iterative Interactive Imitation Learning for Whole-Body Mobile Manipulation

Website: https://i-3l.github.io/
Paper: https://arxiv.org/abs/2610.17748

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Original title: Long-horizon, whole-body robot policies still fail during deployment. How do we best close this last-mile gap? 🤖

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