Space D*: a path-planning algorithm for multiple robots in unknown environments

Detalhes bibliográficos
Autor(a) principal: Silveira, Luan
Data de Publicação: 2012
Outros Autores: Maffei, Renan de Queiroz, Botelho, Silvia Silva da Costa, Junior, Paulo Lilles Jorge Drews, Bicho, Alessandro de Lima, Filho, Nelson Lopes Duarte
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FURG (RI FURG)
Texto Completo: http://repositorio.furg.br/handle/1/4704
Resumo: This paper describes a new method of pathplanning for multiple robots in unknown environments. The method, called Space D*, is based on two algorithms: the D*, which is an incremental graph search algorithm, and the Space Colonization algorithm, previously used to simulate crowd behaviors. The path-planning is achieved through the exchange of information between the robots. So decentralized, each robot performs its path-planning, which provides an obstacle-free path with the least number of robots around. The major contribution of the proposed method is that it generates paths in spacious environments facilitating the control of robots and thus presenting itself in a viable way for using in areas populated with multiple robots. The results obtained validate the approach and show the advantages in comparison with using only the D* method.
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spelling Silveira, LuanMaffei, Renan de QueirozBotelho, Silvia Silva da CostaJunior, Paulo Lilles Jorge DrewsBicho, Alessandro de LimaFilho, Nelson Lopes Duarte2014-12-05T00:03:17Z2014-12-05T00:03:17Z2012SILVEIRA, Luan et al. Space D*: a path-planning algorithm for multiple robots in unknown environments. Journal of the Brazilian Computer Society, v. 18, p. 1-11, 2012. Disponível em: <http://www.researchgate.net/publication/253672837_Space_D*_A_Path-Planning_Algorithm_for_Multiple_Robots_in_Unknown_Environments>. Acesso em: 11 nov. 20140104-65001678-4804http://repositorio.furg.br/handle/1/470410.1007/s13173-012-0071-9This paper describes a new method of pathplanning for multiple robots in unknown environments. The method, called Space D*, is based on two algorithms: the D*, which is an incremental graph search algorithm, and the Space Colonization algorithm, previously used to simulate crowd behaviors. The path-planning is achieved through the exchange of information between the robots. So decentralized, each robot performs its path-planning, which provides an obstacle-free path with the least number of robots around. The major contribution of the proposed method is that it generates paths in spacious environments facilitating the control of robots and thus presenting itself in a viable way for using in areas populated with multiple robots. The results obtained validate the approach and show the advantages in comparison with using only the D* method.engSpringerPath-planningMulti-robot systemsCollision avoidance ·Space colonization algorithmD* Lite algorithmSpace D*: a path-planning algorithm for multiple robots in unknown environmentsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGORIGINALSpace D - a path-planning algorithm for multiple robots in unknown environments.pdfSpace D - a path-planning algorithm for multiple robots in unknown environments.pdfapplication/pdf844535https://repositorio.furg.br/bitstream/1/4704/1/Space%20D%20-%20a%20path-planning%20algorithm%20for%20multiple%20robots%20in%20unknown%20environments.pdfdf922b19de658ccfe7dd4e89ebff01e9MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.furg.br/bitstream/1/4704/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52open access1/47042014-12-04 22:03:17.064open accessoai:repositorio.furg.br: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Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2014-12-05T00:03:17Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false
dc.title.pt_BR.fl_str_mv Space D*: a path-planning algorithm for multiple robots in unknown environments
title Space D*: a path-planning algorithm for multiple robots in unknown environments
spellingShingle Space D*: a path-planning algorithm for multiple robots in unknown environments
Silveira, Luan
Path-planning
Multi-robot systems
Collision avoidance ·
Space colonization algorithm
D* Lite algorithm
title_short Space D*: a path-planning algorithm for multiple robots in unknown environments
title_full Space D*: a path-planning algorithm for multiple robots in unknown environments
title_fullStr Space D*: a path-planning algorithm for multiple robots in unknown environments
title_full_unstemmed Space D*: a path-planning algorithm for multiple robots in unknown environments
title_sort Space D*: a path-planning algorithm for multiple robots in unknown environments
author Silveira, Luan
author_facet Silveira, Luan
Maffei, Renan de Queiroz
Botelho, Silvia Silva da Costa
Junior, Paulo Lilles Jorge Drews
Bicho, Alessandro de Lima
Filho, Nelson Lopes Duarte
author_role author
author2 Maffei, Renan de Queiroz
Botelho, Silvia Silva da Costa
Junior, Paulo Lilles Jorge Drews
Bicho, Alessandro de Lima
Filho, Nelson Lopes Duarte
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silveira, Luan
Maffei, Renan de Queiroz
Botelho, Silvia Silva da Costa
Junior, Paulo Lilles Jorge Drews
Bicho, Alessandro de Lima
Filho, Nelson Lopes Duarte
dc.subject.por.fl_str_mv Path-planning
Multi-robot systems
Collision avoidance ·
Space colonization algorithm
D* Lite algorithm
topic Path-planning
Multi-robot systems
Collision avoidance ·
Space colonization algorithm
D* Lite algorithm
description This paper describes a new method of pathplanning for multiple robots in unknown environments. The method, called Space D*, is based on two algorithms: the D*, which is an incremental graph search algorithm, and the Space Colonization algorithm, previously used to simulate crowd behaviors. The path-planning is achieved through the exchange of information between the robots. So decentralized, each robot performs its path-planning, which provides an obstacle-free path with the least number of robots around. The major contribution of the proposed method is that it generates paths in spacious environments facilitating the control of robots and thus presenting itself in a viable way for using in areas populated with multiple robots. The results obtained validate the approach and show the advantages in comparison with using only the D* method.
publishDate 2012
dc.date.issued.fl_str_mv 2012
dc.date.accessioned.fl_str_mv 2014-12-05T00:03:17Z
dc.date.available.fl_str_mv 2014-12-05T00:03:17Z
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.citation.fl_str_mv SILVEIRA, Luan et al. Space D*: a path-planning algorithm for multiple robots in unknown environments. Journal of the Brazilian Computer Society, v. 18, p. 1-11, 2012. Disponível em: <http://www.researchgate.net/publication/253672837_Space_D*_A_Path-Planning_Algorithm_for_Multiple_Robots_in_Unknown_Environments>. Acesso em: 11 nov. 2014
dc.identifier.uri.fl_str_mv http://repositorio.furg.br/handle/1/4704
dc.identifier.issn.none.fl_str_mv 0104-6500
1678-4804
dc.identifier.doi.pt_BR.fl_str_mv 10.1007/s13173-012-0071-9
identifier_str_mv SILVEIRA, Luan et al. Space D*: a path-planning algorithm for multiple robots in unknown environments. Journal of the Brazilian Computer Society, v. 18, p. 1-11, 2012. Disponível em: <http://www.researchgate.net/publication/253672837_Space_D*_A_Path-Planning_Algorithm_for_Multiple_Robots_in_Unknown_Environments>. Acesso em: 11 nov. 2014
0104-6500
1678-4804
10.1007/s13173-012-0071-9
url http://repositorio.furg.br/handle/1/4704
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Institucional da FURG (RI FURG)
instname:Universidade Federal do Rio Grande (FURG)
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instname_str Universidade Federal do Rio Grande (FURG)
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institution FURG
reponame_str Repositório Institucional da FURG (RI FURG)
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