Attractor dynamics approach to formation control : theory and application

Detalhes bibliográficos
Autor(a) principal: Monteiro, Sérgio
Data de Publicação: 2010
Outros Autores: Bicho, E.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/10919
Resumo: In this paper we show how non-linear attractor dynamics can be used as a framework to control teams of autonomous mobile robots that should navigate according to a predefined geometric formation. The environment does not need to be known a priori and may change over time. Implicit to the control architecture are some important features such as establishing and moving the formation, split and join of formations (when necessary to avoid obstacles). Formations are defined by a formation matrix. By manipulating this formation matrix it is also possible to switch formations at run time. Examples of simulation results and implementations with real robots (teams of Khepera robots and medium size mobile robots), demonstrate formation switch, static and dynamic obstacle avoidance and split and join formations without the need for any explicit coordination scheme. Robustness against environmental perturbations is intrinsically achieved because the behaviour of each robot is generated as a time series of asymptotically stable states, which contribute to the asymptotic stability of the overall control system.
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spelling Attractor dynamics approach to formation control : theory and applicationFormation controlMulti-robot systemsDynamical systemsAttractor dynamicsObstacle avoidanceScience & TechnologyIn this paper we show how non-linear attractor dynamics can be used as a framework to control teams of autonomous mobile robots that should navigate according to a predefined geometric formation. The environment does not need to be known a priori and may change over time. Implicit to the control architecture are some important features such as establishing and moving the formation, split and join of formations (when necessary to avoid obstacles). Formations are defined by a formation matrix. By manipulating this formation matrix it is also possible to switch formations at run time. Examples of simulation results and implementations with real robots (teams of Khepera robots and medium size mobile robots), demonstrate formation switch, static and dynamic obstacle avoidance and split and join formations without the need for any explicit coordination scheme. Robustness against environmental perturbations is intrinsically achieved because the behaviour of each robot is generated as a time series of asymptotically stable states, which contribute to the asymptotic stability of the overall control system.This work was supported through COOP-DYN (POSI/SRI/38051/2001), financed by the Portuguese Foundation for Science and Technology (FCT) and project fp6-IST2 EU-project JAST-Joint Action Science and Technology (project number 003747). We thank Miguel Vaz and Nzoji Hipolito for their help in the implementations with real robots. We would like also to thank the anonymous reviewers for their insightful comments which helped improving the paper.SpringerUniversidade do MinhoMonteiro, SérgioBicho, E.20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/10919eng" Autonomous Robots ". ISSN 0929-5593. 29 (2010) 331-355.0929-559310.1007/s10514-010-9198-8www.springerlink.com/index/C464205783757232.pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:40:17Zoai:repositorium.sdum.uminho.pt:1822/10919Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:37:03.111081Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Attractor dynamics approach to formation control : theory and application
title Attractor dynamics approach to formation control : theory and application
spellingShingle Attractor dynamics approach to formation control : theory and application
Monteiro, Sérgio
Formation control
Multi-robot systems
Dynamical systems
Attractor dynamics
Obstacle avoidance
Science & Technology
title_short Attractor dynamics approach to formation control : theory and application
title_full Attractor dynamics approach to formation control : theory and application
title_fullStr Attractor dynamics approach to formation control : theory and application
title_full_unstemmed Attractor dynamics approach to formation control : theory and application
title_sort Attractor dynamics approach to formation control : theory and application
author Monteiro, Sérgio
author_facet Monteiro, Sérgio
Bicho, E.
author_role author
author2 Bicho, E.
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Monteiro, Sérgio
Bicho, E.
dc.subject.por.fl_str_mv Formation control
Multi-robot systems
Dynamical systems
Attractor dynamics
Obstacle avoidance
Science & Technology
topic Formation control
Multi-robot systems
Dynamical systems
Attractor dynamics
Obstacle avoidance
Science & Technology
description In this paper we show how non-linear attractor dynamics can be used as a framework to control teams of autonomous mobile robots that should navigate according to a predefined geometric formation. The environment does not need to be known a priori and may change over time. Implicit to the control architecture are some important features such as establishing and moving the formation, split and join of formations (when necessary to avoid obstacles). Formations are defined by a formation matrix. By manipulating this formation matrix it is also possible to switch formations at run time. Examples of simulation results and implementations with real robots (teams of Khepera robots and medium size mobile robots), demonstrate formation switch, static and dynamic obstacle avoidance and split and join formations without the need for any explicit coordination scheme. Robustness against environmental perturbations is intrinsically achieved because the behaviour of each robot is generated as a time series of asymptotically stable states, which contribute to the asymptotic stability of the overall control system.
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/10919
url http://hdl.handle.net/1822/10919
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv " Autonomous Robots ". ISSN 0929-5593. 29 (2010) 331-355.
0929-5593
10.1007/s10514-010-9198-8
www.springerlink.com/index/C464205783757232.pdf
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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