Generation of humanoid walking pattern based on human walking measurement

Qiang Huang, Zhangguo Yu, Weimin Zhang, X. Duan, Yuancan Huang, Kejie Li
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引用次数: 17

Abstract

Walking pattern generation has been a crucial issue for humanoid robot. To generate more natural walking patterns, and determine parameters more reasonably, this paper presents a method for humanoid walking pattern generation based on human walking characteristics. The characteristics of human walking parameters were obtained by capturing and analyzing human walking data. Walking pattern parameters are determined by using these characteristics, and then stable and harmonious walking patterns are generated. The effectiveness of the method was verified by experiment result on humanoid robot BHR-2.
基于人体步行测量的仿人步行模式生成
行走模式生成一直是仿人机器人研究的关键问题。为了生成更自然的步行模式,更合理地确定参数,本文提出了一种基于人体步行特征的类人步行模式生成方法。通过对人体行走数据的采集和分析,获得人体行走参数的特征。利用这些特征确定步行模式参数,生成稳定和谐的步行模式。在仿人机器人BHR-2上的实验结果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。
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