Implementation of the avoidance algorithm for autonomous mobile robots using fuzzy rules

Jang Hyun Kim, Jin Bae Park, Hyunseok Yang

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

1 Citation (Scopus)

Abstract

Complex "lifelike" behaviors are composed of local interactions of individuals under fundamental rules of artificial life. In this paper, fundamental rules for cooperative group behaviors, "Avoidance" of multiple autonomous mobile robots are represented by a small number of fuzzy rules. Fuzzy rules in Sugeno type and their related parameters are automatically generated from clustering input-output data obtained from the algorithms for the group behaviors. Simulations demonstrate the fuzzy rules successfully realize group intelligence of mobile robots.

Original languageEnglish
Title of host publicationFuzzy Systems and Knowledge Discovery - Third International Conference, FSKD 2006, Proceedings
PublisherSpringer Verlag
Pages836-845
Number of pages10
ISBN (Print)3540459162, 9783540459163
Publication statusPublished - 2006 Jan 1
Event3rd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006 - Xi'an, China
Duration: 2006 Sep 242006 Sep 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4223 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006
CountryChina
CityXi'an
Period06/9/2406/9/28

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, J. H., Park, J. B., & Yang, H. (2006). Implementation of the avoidance algorithm for autonomous mobile robots using fuzzy rules. In Fuzzy Systems and Knowledge Discovery - Third International Conference, FSKD 2006, Proceedings (pp. 836-845). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4223 LNAI). Springer Verlag.