An agent-based evolutionary robotic system for its reconfiguration

Xueshan Gao*, Koki Kikuchi, Xiaobing Wu

*Corresponding author for this work

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

Abstract

In this paper, the evolutionary algorithm is applied to generate the morphology and intelligence of an individual agent robot in the multi-agent robotic system. Each robot agent is given the functions emerges from intelligence and balance between morphology and intelligence from the other agent robot and task of following and contacting. Both of the morphology and intelligence are automatically generated and evolved by genetic programming for the task. Furthermore, we performed evolution simulation experiments, and discussed the symmetry properties.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems
Subtitle of host publicationKES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
Pages571-580
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2007
Event11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare, Italy
Duration: 12 Sept 200714 Sept 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4693 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
Country/TerritoryItaly
CityVietri sul Mare
Period12/09/0714/09/07

Keywords

  • Emergent gene
  • Multi-agent robot system
  • Robot agent
  • Symmetry properties

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