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The CPG control algorithm for a climbing worm robot

  • Wei Wang*
  • , Yingying Wang
  • , Jinghao Qi
  • , Houxiang Zhang
  • , Jianwei Zhang
  • *Corresponding author for this work
  • Beihang University
  • University of Hamburg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a locomotion control algorithm for a climbing worm robot based on neural oscillator network (NON). According to the structure and locomotion feature of the climbing worm robot, the trapezoidal wave gait and triangular wave gait are defined. Then the cyclic inhibitory Central Pattern Generator (CPG) model and mutual inhibitory CPG model are adopted to control the climbing worm robot. Furthermore, by combining the CPG output with the feedback signal from the sucker, the robot realizes the trapezoidal wave gait and triangular wave gait. Moreover, we present that real robot can successfully exhibit meandering movement by using controller output of the proposed architecture.

Original languageEnglish
Title of host publication2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Pages675-679
Number of pages5
DOIs
StatePublished - 2008
Event2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 - Singapore, Singapore
Duration: 3 Jun 20085 Jun 2008

Publication series

Name2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008

Conference

Conference2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Country/TerritorySingapore
CitySingapore
Period3/06/085/06/08

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