Scalable Task Cleanup Assignment for Multi-agents

This paper describes a group of robots for cleaning a simulated environment and proposes an ecient algorithm for navigation based on Path nding A *. No need for vision sensors. As a result it was observed that the robots can work cooperatively to clear the ground and that the navigation algorithm is...

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Autor Principal: Saraiva, Arata A. (author)
Outros autores: Costa, NJC (author), M Sousa, Jose Vigno (author), Pontes De Araujo, Thelmo (author), Fonseca Ferreira, N. M. (author), Valente, Antonio (author)
Formato: article
Idioma:Lingua castelá
Publicado: 2018
Subjects:
Acceso en liña:http://revistas.utp.ac.pa/index.php/memoutp/article/view/2014
http://ridda2.utp.ac.pa/handle/123456789/5673
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author Saraiva, Arata A.
author2 Costa, NJC
M Sousa, Jose Vigno
Pontes De Araujo, Thelmo
Fonseca Ferreira, N. M.
Valente, Antonio
author2_role author
author
author
author
author
author_browse Costa, NJC
Fonseca Ferreira, N. M.
M Sousa, Jose Vigno
Pontes De Araujo, Thelmo
Saraiva, Arata A.
Valente, Antonio
author_facet Saraiva, Arata A.
Costa, NJC
M Sousa, Jose Vigno
Pontes De Araujo, Thelmo
Fonseca Ferreira, N. M.
Valente, Antonio
author_role author
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
dc.contributor.none.fl_str_mv
dc.creator.none.fl_str_mv Saraiva, Arata A.
Costa, NJC
M Sousa, Jose Vigno
Pontes De Araujo, Thelmo
Fonseca Ferreira, N. M.
Valente, Antonio
dc.date.none.fl_str_mv 2018-09-30
2018-12-04T14:32:05Z
2018-12-04T14:32:05Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://revistas.utp.ac.pa/index.php/memoutp/article/view/2014
http://ridda2.utp.ac.pa/handle/123456789/5673
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv Universidad Tecnológica de Panamá
dc.relation.none.fl_str_mv http://revistas.utp.ac.pa/index.php/memoutp/article/view/2014/2956
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.source.none.fl_str_mv Memorias de Congresos UTP; 2018: The 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines - CLAWAR 2018; 439-446
reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
dc.subject.none.fl_str_mv Multi robots; Cleaning; Cooperative work; Navigation
dc.title.none.fl_str_mv Scalable Task Cleanup Assignment for Multi-agents
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description This paper describes a group of robots for cleaning a simulated environment and proposes an ecient algorithm for navigation based on Path nding A *. No need for vision sensors. As a result it was observed that the robots can work cooperatively to clear the ground and that the navigation algorithm is e ective in cleaning. In order to test its eciency it was compared the combination of the Path nding A* algorithm and the decision algorithm proposed in this paper with Path nding A* and Euclidean distance, resulted in an improvement in time and distance traveled.
eu_rights_str_mv openAccess
format article
id lrtest_66ab82efbcdb7329f14495e96cd784c1
instacron_str U Tecnológica de Panamá
institution U Tecnológica de Panamá
instname_str Universidad Tecnológica de Panamá
language spa
network_acronym_str lrtest
network_name_str lr
oai_identifier_str oai:ridda2.utp.ac.pa:123456789/5673
publishDate 2018
publishDateSort 2018
publisher.none.fl_str_mv Universidad Tecnológica de Panamá
reponame_str Repositorio Institucional de documento digitales de acceso abierto de la UTP
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
spelling Scalable Task Cleanup Assignment for Multi-agentsSaraiva, Arata A.Costa, NJCM Sousa, Jose VignoPontes De Araujo, ThelmoFonseca Ferreira, N. M.Valente, AntonioMulti robots; Cleaning; Cooperative work; NavigationThis paper describes a group of robots for cleaning a simulated environment and proposes an ecient algorithm for navigation based on Path nding A *. No need for vision sensors. As a result it was observed that the robots can work cooperatively to clear the ground and that the navigation algorithm is e ective in cleaning. In order to test its eciency it was compared the combination of the Path nding A* algorithm and the decision algorithm proposed in this paper with Path nding A* and Euclidean distance, resulted in an improvement in time and distance traveled.Universidad Tecnológica de Panamá2018-09-302018-12-04T14:32:05Z2018-12-04T14:32:05Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistas.utp.ac.pa/index.php/memoutp/article/view/2014http://ridda2.utp.ac.pa/handle/123456789/5673Memorias de Congresos UTP; 2018: The 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines - CLAWAR 2018; 439-446reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáspahttp://revistas.utp.ac.pa/index.php/memoutp/article/view/2014/2956info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/oai:ridda2.utp.ac.pa:123456789/56732019-11-29T17:34:14Z
spellingShingle Scalable Task Cleanup Assignment for Multi-agents
Saraiva, Arata A.
Multi robots; Cleaning; Cooperative work; Navigation
status_str publishedVersion
title Scalable Task Cleanup Assignment for Multi-agents
title_full Scalable Task Cleanup Assignment for Multi-agents
title_fullStr Scalable Task Cleanup Assignment for Multi-agents
title_full_unstemmed Scalable Task Cleanup Assignment for Multi-agents
title_short Scalable Task Cleanup Assignment for Multi-agents
title_sort Scalable Task Cleanup Assignment for Multi-agents
topic Multi robots; Cleaning; Cooperative work; Navigation
url http://revistas.utp.ac.pa/index.php/memoutp/article/view/2014
http://ridda2.utp.ac.pa/handle/123456789/5673