基于相位还原的六足机器人步态转换简易控制中央模式发生器网络

Norihisa Namura, Hiroya Nakao
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引用次数: 0

摘要

我们提出了一种中央模式发生器(CPG)网络模型,该模型可以基于相位还原法以简单的方式控制六足机器人的步态转换。中央模式发生器网络由六个弱耦合极限周期振荡器组成,其同步动态可通过相位还原法用六个相位方程来描述。针对具有特定对称性的六足步态之间的转换,CPG 网络的六个相位方程可以进一步简化为两个独立的相位差方程。通过为网络选择适当的耦合函数,我们可以实现理想的同步动态,而无需考虑用于 CPG 的极限周期振荡器的详细特性。我们使用 FitzHugh-Nagumo 振荡器作为 CPG 单元,对波浪式、四足式和三足式步态之间的步态转换进行了数值模拟,从而证明了我们的 CPG 网络的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Central Pattern Generator Network for Simple Control of Gait Transitions in Hexapod Robots based on Phase Reduction
We present a model of the central pattern generator (CPG) network that can control gait transitions in hexapod robots in a simple manner based on phase reduction. The CPG network consists of six weakly coupled limit-cycle oscillators, whose synchronization dynamics can be described by six phase equations through phase reduction. Focusing on the transitions between the hexapod gaits with specific symmetries, the six phase equations of the CPG network can further be reduced to two independent equations for the phase differences. By choosing appropriate coupling functions for the network, we can achieve desired synchronization dynamics regardless of the detailed properties of the limit-cycle oscillators used for the CPG. The effectiveness of our CPG network is demonstrated by numerical simulations of gait transitions between the wave, tetrapod, and tripod gaits, using the FitzHugh-Nagumo oscillator as the CPG unit.
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