Humanoid Robot Gait Planning and Experimental Verification

Lei Zhang, Feng Xiaokai, Qiu Zhe
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Abstract

This paper presents an optimized method of gait planning for a small biped humanoid robot developed independently. The three-dimensional inverted pendulum model is adopted to gain the information of the center of gravity (COG) trajectory and angle of each robotic joint to meet the ZMP stability, transform the information into angle and speed of steering, and then realize the stable walking of the robot. The dynamic biped walking experiment based on walking parameters was taken to verify the feasibility and validity of the gait planning method.
仿人机器人步态规划与实验验证
针对自主研制的小型双足类人机器人,提出了一种步态规划优化方法。采用三维倒立摆模型获取满足ZMP稳定性要求的机器人各关节重心轨迹和角度信息,并将其转化为转向角度和转向速度,实现机器人的稳定行走。通过基于行走参数的动态双足行走实验,验证了步态规划方法的可行性和有效性。
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