Genetic design of biped walking fuzzy logic controller

Selene Cardenas, Oscar Castillo, Luis T. Aguilar, Antonio Rodriguez

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

2 Scopus citations

Abstract

This paper presents the automatic design, through a multi-objective genetic algorithm, of a fuzzy logic controller (FLC) applied to walking of a biped robot. The design approach of the FLC comprises two aspects: tuning the antecedents and consequents membership functions parameters and obtain the antecedents and consequents fuzzy partition of a rule base with a fixed structure such that allow to perform tracking of a walking pattern. Optimization results of the FLC design for a 3-DOF biped robot and the tracking results are provided.

Original languageEnglish
Title of host publication2009 IEEE Workshop on Hybrid Intelligent Models and Applications, HIMA 2009 - Proceedings
Pages7-12
Number of pages6
DOIs
StatePublished - 2009
Event2009 IEEE Workshop on Hybrid Intelligent Models and Applications, HIMA 2009 - Nashville, TN, United States
Duration: 30 Mar 20092 Apr 2009

Publication series

Name2009 IEEE Workshop on Hybrid Intelligent Models and Applications, HIMA 2009 - Proceedings

Conference

Conference2009 IEEE Workshop on Hybrid Intelligent Models and Applications, HIMA 2009
Country/TerritoryUnited States
CityNashville, TN
Period30/03/092/04/09

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