A Central Pattern Generator Network for Simple Control of Gait Transitions in Hexapod Robots based on Phase Reduction

Fuente: arXiv
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Autori principali: Namura, Norihisa, Nakao, Hiroya
Natura: Preprint
Pubblicazione: 2024
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author Namura, Norihisa
Nakao, Hiroya
author_facet Namura, Norihisa
Nakao, Hiroya
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2404_17139
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Central Pattern Generator Network for Simple Control of Gait Transitions in Hexapod Robots based on Phase Reduction
Namura, Norihisa
Nakao, Hiroya
Adaptation and Self-Organizing Systems
Systems and Control
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.
title A Central Pattern Generator Network for Simple Control of Gait Transitions in Hexapod Robots based on Phase Reduction
topic Adaptation and Self-Organizing Systems
Systems and Control
url https://arxiv.org/abs/2404.17139