Dynamics Study of Compass-Gait Biped Robot through Nonlinear Time-Series Analysis

S. Iqbal, Xizhe Zang, Xinyu Liu, M. Gulzar, Yanhe Zhu, Jie Zhao
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Abstract

Passive dynamic walking (PDW) provides us better insight for understanding human walking, for developing prosthetic limbs and for designing superior bipedal robots. In this paper, we investigated the dynamics of a simple PDW, 2D compass-gait biped model that loosely look like human legs (without knees), using time-series analysis based on nonlinear dynamics. Previously, this passive biped model has been explored using only bifurcation diagrams and phase-space plots, but we studied it using nonlinear time-series analysis. The experimental results from walking experiments of prototype passive compass-gait biped validated the simulation results. These results can be useful for designing efficient bipedal robots.
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基于非线性时间序列分析的罗盘步态双足机器人动力学研究
被动动态行走(Passive dynamic walking, PDW)为我们更好地理解人类行走、开发假肢和设计高性能双足机器人提供了新的思路。在本文中,我们使用基于非线性动力学的时间序列分析研究了一个简单的PDW, 2D罗盘-步态双足模型,它看起来像人类的腿(没有膝盖)。在此之前,该被动双足模型仅使用分岔图和相空间图进行了探索,但我们使用非线性时间序列分析对其进行了研究。被动罗盘步态双足机器人的行走实验结果验证了仿真结果。这些结果可用于设计高效的双足机器人。
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