日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2510.09221

HANDO: Hierarchical Autonomous Navigation and Dexterous Omni-loco-manipulation

HANDO: Hierarchical Autonomous Navigation and Dexterous Omni-loco-manipulation

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著者: Jingyuan Sun, Chaoran Wang, Mingyu Zhang, Cui Miao, Hongyu Ji, Zihan Qu, Han Sun, Bing Wang, Qingyi Si

分類: cs.RO

原文アブストラクト

Seamless loco-manipulation in unstructured environments requires robots to leverage autonomous exploration alongside whole-body control for physical interaction. In this work, we introduce HANDO (Hierarchical Autonomous Navigation and Dexterous Omni-loco-manipulation), a two-layer framework designed for legged robots equipped with manipulators to perform human-centered mobile manipulation tasks. The first layer utilizes a goal-conditioned autonomous exploration policy to guide the robot to semantically specified targets, such as a black office chair in a dynamic environment. The second layer employs a unified whole-body loco-manipulation policy to coordinate the arm and legs for precise interaction tasks-for example, handing a drink to a person seated on the chair. We have conducted an initial deployment of the navigation module, and will continue to pursue finer-grained deployment of whole-body loco-manipulation.