FT-WBC: 脚式移動マニピュレーションのための耐故障全身制御の学習
FT-WBC: Learning Fault-Tolerant Whole-Body Control for Legged Loco-Manipulation
脚式移動マニピュレータのアクチュエータ故障時に、全身の安定性とアームの可動域を両立する耐故障制御フレームワークFT-WBCを提案した。故障推定器と姿勢適応モジュールにより、故障を予測し姿勢計画を適応させることで、シミュレーションと実機で生存率と可動域を向上させた。
詳しい要約
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2. 先行研究と比べてどこがすごい？
3. 技術・手法の肝は？
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6. 次に読むべき論文は？
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著者: Yudong Zhong, Pengfei Mai, Sikai Guo, Jiahang Cao, Zhihai Bi, Qiuyue Liu, Ziyan Feng, Jinni Zhou, Jun Ma
分類: cs.RO
原文アブストラクト
Legged manipulators combine the mobility of legged platforms with the manipulation capability of robotic arms. However, arm-induced Center-of-Mass shifts and dynamic disturbances make the system more prone to instability under actuator failures, potentially leading to falls, task failures, or safety risks. Existing fault-tolerant control methods mainly focus on locomotion alone, leaving the coupled problem of whole-body stability and arm reachability in fault-tolerant loco-manipulation largely unaddressed. To bridge this gap, we propose FT-WBC, a fault-tolerant loco-manipulation framework for robust whole-body control of legged manipulators under actuator failures. FT-WBC adopts a decoupled upper- and lower-body policy architecture and introduces two key modules: a Fault Estimator (FE) and a Posture Adaptation Module (PAM). The FE predicts faulty joints from lower-body proprioceptive histories, while the PAM uses this fault information to adapt the base posture plan generated by the arm policy, converting potentially unstable posture requests into safe and executable base posture commands. Through this fault-aware posture adaptation mechanism, FT-WBC synthesizes compensatory gaits under actuator failures and preserves as much arm workspace as possible while maintaining whole-body stability. Simulation and real-world experiments show that FT-WBC significantly improves survival rate and workspace under weakening or locked failures, and transfers zero-shot to a real legged manipulator in the real world.
