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arXiv cs.AI / cs.LG / cs.CL28d ago

Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance

HiRe-MoMa fine-tunes real-world mobile manipulation policies in about 30 minutes using sparse human guidance.

mobile-manipulation robot-learning

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