地形認識型全身体制御による脚式移動マニピュレーションの学習
Learning Terrain-Aware Whole-Body Control for Perceptive Legged Loco-Manipulation
脚式マニピュレータのための地形認識型全身体制御フレームワークTA-WBCを提案し、外部センサによる地形特徴抽出と新しいエンドエフェクタサンプリング法により、様々な地形での安定した移動操作を実現した。
詳しい要約
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著者: Sikai Guo, Yudong Zhong, Guoyang Zhao, Botao Dang, Zhihai Bi, Jun Ma
分類: cs.RO
原文アブストラクト
Legged manipulators integrate exceptional terrain adaptability along with mobile manipulation capabilities, which make them highly promising for deployment in human-centric environments. By coordinating the control of both legs and arms, a whole-body controller can significantly expand the operational workspace of legged manipulators. However, many existing whole-body controllers primarily depend on proprioception and do not incorporate the critical exteroception required for effective terrain topology perception. This limitation can hinder their ability to adapt to varying environmental conditions and navigate complex terrains effectively. In this paper, we introduce TA-WBC, a terrain-aware whole-body control framework for legged manipulators, which features a novel RL-based unified policy tailored to whole-body loco-manipulation tasks in various terrains. Specifically, we employ a hybrid exteroception encoder to extract terrain features, providing an essential basis for the robot to proactively adapt posture and footholds. Furthermore, to facilitate stable cross-terrain loco-manipulation, we propose a novel end-effector sampling method based on the foot contact plane, decoupling manipulation target from base fluctuations. Moreover, a dual-policy distillation module is introduced to integrate expansive whole-body motion with terrain adaptability without catastrophic forgetting. The simulation and real-world experiments validate the robustness of our proposed controller, which leads to a larger reachable space, less tracking error, and reduced unexpected stumbles. This unified policy highlights the promising capabilities of legged manipulators in performing loco-manipulation tasks across complex terrains.
関連論文
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