Snake Robot Gait Decomposition and Gait Parameter Optimization

Fuente: arXiv
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Auteurs principaux: Song, Bongsub, Ju, Insung, Yun, Dongwon
Format: Preprint
Publié: 2021
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author Song, Bongsub
Ju, Insung
Yun, Dongwon
author_facet Song, Bongsub
Ju, Insung
Yun, Dongwon
contents This paper proposes Gait Decomposition (G.D), a method of mathematically decomposing snake movements, and Gait Parameter Gradient (GPG), a method of optimizing decomposed gait parameters. G.D is a method that can express the snake gait mathematically and concisely from generating movement using the curve function to the motor control order when generating movement of snake robot. Through this method, the gait of the snake robot can be intuitively classified into a matrix, as well as flexibly adjusting the parameters of the curve function required for gait generation. This can solve the problem that parameter tuning, which is the reason why it is difficult for a snake robot to practical use, is difficult. Therefore, if this G.D is applied to snake robots, various gaits can be generated with a few of parameters, so snake robots can be used in many fields. We also implemented the GPG algorithm to optimize the gait curve function as well as define the gait of the snake robot through G.D.
format Preprint
id arxiv_https___arxiv_org_abs_2112_02057
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Snake Robot Gait Decomposition and Gait Parameter Optimization
Song, Bongsub
Ju, Insung
Yun, Dongwon
Robotics
This paper proposes Gait Decomposition (G.D), a method of mathematically decomposing snake movements, and Gait Parameter Gradient (GPG), a method of optimizing decomposed gait parameters. G.D is a method that can express the snake gait mathematically and concisely from generating movement using the curve function to the motor control order when generating movement of snake robot. Through this method, the gait of the snake robot can be intuitively classified into a matrix, as well as flexibly adjusting the parameters of the curve function required for gait generation. This can solve the problem that parameter tuning, which is the reason why it is difficult for a snake robot to practical use, is difficult. Therefore, if this G.D is applied to snake robots, various gaits can be generated with a few of parameters, so snake robots can be used in many fields. We also implemented the GPG algorithm to optimize the gait curve function as well as define the gait of the snake robot through G.D.
title Snake Robot Gait Decomposition and Gait Parameter Optimization
topic Robotics
url https://arxiv.org/abs/2112.02057