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Robust and Stretched-Knee Biped Walking Using Joint-Space Motion Control

机译:使用关节空间运动控制进行稳健的伸膝双足步行

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Comparing to IK (Inverse Kinematics) based motion control, joint-space motion control is more advantageous in terms of not being restricted by kinematics singularity problem. In this paper, we start with SIMBICON (Simple Biped Locomotion Control) based controller, a joint-space motion control method, extend it for enhancing walking's robustness and versatility. We propose a motion optimization method considering walking robustness, desired walking velocity and energy efficient minimization for walking motion generation. This method enables us to achieve human-like walking motion, which has stretched-knee posture and robust to large push disturbances. We also apply our proposed method to a life-sized biped robot and validate its effectiveness with push recovery and walking on unknown debris experiments.
机译:与基于IK(逆运动学)的运动控制相比,关节空间运动控制在不受运动学奇异性问题的限制方面更具优势。在本文中,我们从基于SIMBICON(简单双足运动控制)的控制器(一种关节空间运动控制方法)开始,对其进行扩展以增强步行的鲁棒性和多功能性。我们提出了一种运动优化方法,该方法考虑了行走的鲁棒性,所需的行走速度和产生行走运动的能量效率最小化。这种方法使我们能够实现类似人的步行动作,该动作具有伸膝的姿势,并且对较大的推力干扰都具有较强的抵抗力。我们还将我们提出的方法应用于真人大小的两足动物机器人,并通过推动恢复和在未知碎片实验中行走来验证其有效性。

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