トルク制御ヒューマノイドにおける階層型逆動力学と運動量制御
Momentum Control with Hierarchical Inverse Dynamics on a Torque-Controlled Humanoid
二次計画のカスケードに基づく階層型逆動力学を簡略化し、運動量制御とLQRを統合してトルク制御ヒューマノイドの実時間制御を実現、片脚立位を含む外乱下でも堅牢な性能を示した。
著者: Alexander Herzog, Nicholas Rotella, Sean Mason, Felix Grimminger, Stefan Schaal, Ludovic Righetti
分類: cs.RO
原文アブストラクト
Hierarchical inverse dynamics based on cascades of quadratic programs have been proposed for the control of legged robots. They have important benefits but to the best of our knowledge have never been implemented on a torque controlled humanoid where model inaccuracies, sensor noise and real-time computation requirements can be problematic. Using a reformulation of existing algorithms, we propose a simplification of the problem that allows to achieve real-time control. Momentum-based control is integrated in the task hierarchy and a LQR design approach is used to compute the desired associated closed-loop behavior and improve performance. Extensive experiments on various balancing and tracking tasks show very robust performance in the face of unknown disturbances, even when the humanoid is standing on one foot. Our results demonstrate that hierarchical inverse dynamics together with momentum control can be efficiently used for feedback control under real robot conditions.
