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Adaptive control of a quadruped robot based on central pattern generators

  • Zhongcai Pei*
  • , Le Song
  • , Bin Chen
  • , Xiaoqiang Guo
  • *Corresponding author for this work

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

Abstract

Biocybernetics method is developed to solve robot motion control problem in recent years. Biocybernetics method can realize the robot's rhythmic movement by simulating, simplifying and improving rhythmic movement control area of animal. The rhythmic movement has many advantages, such as regular expression form, high stability and adaptability, so it is always used to control the motion of legged robots. Animal's rhythmic movement is controlled by Central Pattern Generators (CPG). This paper designed a general hydraulic quadruped robot platform adopting Matsuoka's CPG model to complete the robot motion intelligent control. Four gaits of quadruped robot were simulated based on this CPG control model and the foot endpoints trajectory planning problems of quadruped robot was analyzed.

Original languageEnglish
Title of host publicationINDIN 2012 - IEEE 10th International Conference on Industrial Informatics
Pages554-558
Number of pages5
DOIs
StatePublished - 2012
EventIEEE 10th International Conference on Industrial Informatics, INDIN 2012 - Beijing, China
Duration: 25 Jul 201227 Jul 2012

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)1935-4576

Conference

ConferenceIEEE 10th International Conference on Industrial Informatics, INDIN 2012
Country/TerritoryChina
CityBeijing
Period25/07/1227/07/12

Keywords

  • Central Pattern Generators
  • motion control
  • quadruped robot

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