基于QRIO的两足运动神经振荡器实验研究

G. Endo, J. Nakanishi, J. Morimoto, G. Cheng
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引用次数: 148

摘要

近年来,人们对利用中央模式发生器(Central Pattern Generator, CPG)进行仿生双足运动控制的研究越来越感兴趣。然而,在真正的硬件三维人形机器人上的实验尝试还很少。我们在本文中的目标是展示我们使用神经振荡器应用于类人机器人QRIO的3D双足运动的成就。我们采用减少的神经振子数量作为CPG模型,结合任务空间笛卡尔坐标系,利用夹带特性建立稳定的步行步态。通过沿横向平面的步进运动的数值模拟,验证了对横向扰动的鲁棒性。然后我们在QRIO上实现了它。它可以通过自主调整步进周期,成功应对未知的3mm颠簸。引入神经振荡器产生矢状运动,然后与横向运动发生器叠加,实现QRIO仿人机器人的双足三维运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental Studies of a Neural Oscillator for Biped Locomotion with QRIO
Recently, there has been a growing interest in biologically inspired biped locomotion control with Central Pattern Generator (CPG). However, few experimental attempts on real hardware 3D humanoid robots have yet been made. Our goal in this paper is to present our achievement of 3D biped locomotion using a neural oscillator applied to a humanoid robot, QRIO. We employ reduced number of neural oscillators as the CPG model, along with a task space Cartesian coordinate system and utilizing entrainment property to establish stable walking gait. We verify robustness against lateral perturbation, through numerical simulation of stepping motion in place along the lateral plane. We then implemented it on the QRIO. It could successfully cope with unknown 3mm bump by autonomously adjusting its stepping period. Sagittal motion produced by a neural oscillator is introduced, and then overlapped with the lateral motion generator in realizing 3D biped locomotion on a QRIO humanoid robot.
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