Evolutionary Artificial Neural Networks for quadruped locomotion

David McMinn, Grant Maxwell, Christopher MacLeod

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


This paper outlines the results of successful research into the production of four legged gaits in robots using Evolutionary Artificial Neural Networks. The system is based on a hierarchical model outlined in previous work and a new neuron model has been developed for use in the system. The ANNs are combined in a flexible manner to control the gait of an animat during locomotion.

Original languageEnglish
Title of host publicationArtificial Neural Networks, ICANN 2002 - International Conference, Proceedings
EditorsJose R. Dorronsoro, Jose R. Dorronsoro
Number of pages6
ISBN (Print)9783540440741
Publication statusPublished - 2002
Event2002 International Conference on Artificial Neural Networks, ICANN 2002 - Madrid, Spain
Duration: 28 Aug 200230 Aug 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2415 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2002 International Conference on Artificial Neural Networks, ICANN 2002


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