Actively-compliant locomotion control on rough terrain: Cyclic jumping and trotting experiments on a stiff-by-nature quadruped

B. Ugurlu, Kana Kotaka, T. Narikiyo
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引用次数: 25

Abstract

This paper is authored to describe a control framework that is designated for realizing cyclic, actively-compliant and dynamically-balanced jumping and trotting quadruped locomotion over rough terrain. In order to succeed in exhibiting such locomotion abilities, two controllers are synthesized: i) Active Compliance Control via force feedback, ii) Angular Momentum Control via gyro sensing. The first controller computes the joint displacements that are associated with ground reaction force errors, using Jacobian transpose and admittance blocks. Together with position constraints, these joint displacements are simultaneously fed-back to local servo controllers; allowing the robot to perform the given locomotion task in an actively-compliant manner. The second controller, in the meantime, evaluates gyro sensor information to calculate the required compensation torque about center of mass, which is necessary to regulate upper torso rotational motion. Afterwards, it updates the orientation input in accordance with this compensation torque. Using the proposed framework, the overall control performance is tested via cyclic jumping and trotting motion experiments, conducted over rough terrain with a stiff-by-nature quadruped robot. Results turn out to be positive; the robot demonstrates successful jumping and trotting cycles in a repetitive, actively-compliant and dynamically-balanced fashion.
粗糙地形上的主动顺应运动控制:在自然僵硬的四足动物上的循环跳跃和小跑实验
本文描述了一种用于在崎岖地形上实现循环、主动顺应和动态平衡的跳跃和小跑四足运动的控制框架。为了成功地展示这样的运动能力,两个控制器被合成:i)主动顺应控制通过力反馈,ii)角动量控制通过陀螺传感。第一个控制器使用雅可比矩阵转置和导纳块计算与地面反力误差相关的关节位移。结合位置约束,这些关节位移同时反馈给本地伺服控制器;允许机器人以主动顺从的方式执行给定的运动任务。同时,第二控制器对陀螺传感器信息进行评估,计算出调节上肢旋转运动所需的质心补偿力矩。然后,根据补偿力矩更新方向输入。利用提出的框架,通过循环跳跃和小跑运动实验测试了总体控制性能,并在崎岖地形上与自然刚性四足机器人进行了实验。结果是积极的;机器人以重复、主动顺从和动态平衡的方式展示了成功的跳跃和小跑循环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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