Generation of fuzzy rules and learning algorithms for cooperative behavior of Autonomouse Mobile Robots(AMRs)

Jang Hyun Kim; Jin Bae Park; Hyun Seok Yang; Young Pil Park

Generation of fuzzy rules and learning algorithms for cooperative behavior of Autonomouse Mobile Robots(AMRs)

Jang Hyun Kim, Jin Bae Park, Hyun Seok Yang, Young Pil Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, "flocking" and "arrangement" of multiple autonomouse 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 language	English
Title of host publication	Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings
Publisher	Springer Verlag
Pages	1015-1024
Number of pages	10
ISBN (Print)	9783540283126
Publication status	Published - 2006
Event	2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 - Changsa, China Duration: 2005 Aug 27 → 2005 Aug 29

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3613 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005
Country	China
City	Changsa
Period	05/8/27 → 05/8/29

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

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Kim, J. H., Park, J. B., Yang, H. S., & Park, Y. P. (2006). Generation of fuzzy rules and learning algorithms for cooperative behavior of Autonomouse Mobile Robots(AMRs). In Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings (pp. 1015-1024). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3613 LNAI). Springer Verlag.

Kim, Jang Hyun ; Park, Jin Bae ; Yang, Hyun Seok ; Park, Young Pil. / Generation of fuzzy rules and learning algorithms for cooperative behavior of Autonomouse Mobile Robots(AMRs). Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Springer Verlag, 2006. pp. 1015-1024 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Kim, {Jang Hyun} and Park, {Jin Bae} and Yang, {Hyun Seok} and Park, {Young Pil}",

note = "Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 ; Conference date: 27-08-2005 Through 29-08-2005",

year = "2006",

language = "English",

isbn = "9783540283126",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Kim, JH, Park, JB , Yang, HS & Park, YP 2006, Generation of fuzzy rules and learning algorithms for cooperative behavior of Autonomouse Mobile Robots(AMRs). in Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3613 LNAI, Springer Verlag, pp. 1015-1024, 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005, Changsa, China, 05/8/27.

Generation of fuzzy rules and learning algorithms for cooperative behavior of Autonomouse Mobile Robots(AMRs). / Kim, Jang Hyun; Park, Jin Bae ; Yang, Hyun Seok; Park, Young Pil.

Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Springer Verlag, 2006. p. 1015-1024 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3613 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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, "flocking" and "arrangement" of multiple autonomouse 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.

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Kim JH, Park JB , Yang HS, Park YP. Generation of fuzzy rules and learning algorithms for cooperative behavior of Autonomouse Mobile Robots(AMRs). In Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Springer Verlag. 2006. p. 1015-1024. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).