基于时变线性倒立摆模式的包含步行间步态转换的跑步轨迹生成

Satomi Hanasaki, Y. Tazaki, Hikaru Nagano, Y. Yokokohji
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引用次数: 1

摘要

提出了一种基于时变线性倒立摆模式(LIPM)的仿人机器人运动轨迹生成方法。在每个接触阶段,通过简单地优化LIPM的刚度参数,可以产生CoM的垂直运动,这对于稳态运行和步行与运行之间的转换至关重要。由于该方法是基于传统LIPM的步行轨迹生成方法的自然扩展,因此能够实现步行和跑步之间自然无缝的步态转换。此外,由于该方法利用了LIPM的封闭解,因此比现有的基于固定时间步长的时间离散方法计算效率更高。通过仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Running Trajectory Generation Including Gait Transition between Walking Based on the Time-Varying Linear Inverted Pendulum Mode
This paper presents a novel running trajectory generation method for humanoid robots based on the time-varying linear inverted pendulum mode (LIPM). Vertical motion of the CoM, which is crucial for both steady-state running and transitions between walking and running, can be generated by simply optimizing the stiffness parameter of the LIPM during each contact phase. Since our method is a natural extension of walking trajectory generation method based on the conventional LIPM, it is capable of realizing natural and seamless gait transition between walking and running. Moreover, since the proposed method makes use of closed-form solutions of the LIPM, it is more computationally efficient than existing methods based on time-discretization with a fixed time step. Several simulations are performed to evaluate the efficiency of our method.
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