Robust image-based visual servoing using invariant visual information
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/27729 https://doi.org/10.1016/j.robot.2013.06.010 |
Resumo: | This paper deals with the use of invariant visual features for visual servoing. New features are proposed to control the 6 degrees of freedom of a robotic system with better linearizing properties and robustness to noise than the state of the art in image-based visual servoing. We show in this paper that by using these features the behavior of image-based visual servoing in task space can be significantly improved. Several experimental results are provided and validate our proposal. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Robust image-based visual servoing using invariant visual informationRobust visual servoingSpherical projectionThis paper deals with the use of invariant visual features for visual servoing. New features are proposed to control the 6 degrees of freedom of a robotic system with better linearizing properties and robustness to noise than the state of the art in image-based visual servoing. We show in this paper that by using these features the behavior of image-based visual servoing in task space can be significantly improved. Several experimental results are provided and validate our proposal.Elsevier2013-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/27729http://hdl.handle.net/10316/27729https://doi.org/10.1016/j.robot.2013.06.010engTAHRI, Omar [et. al] - Robust image-based visual servoing using invariant visual information. "Robotics and Autonomous Systems". ISSN 0921-8890. Vol. 61 Nº. 12 (2013) p. 1588–16000921-8890http://www.sciencedirect.com/science/article/pii/S092188901300119XTahri, OmarAraujo, HelderChaumette, FrançoisMezouar, Youcefinfo: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:RCAAP2020-05-25T12:20:06Zoai:estudogeral.uc.pt:10316/27729Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:53:46.506606Repositório 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 |
Robust image-based visual servoing using invariant visual information |
title |
Robust image-based visual servoing using invariant visual information |
spellingShingle |
Robust image-based visual servoing using invariant visual information Tahri, Omar Robust visual servoing Spherical projection |
title_short |
Robust image-based visual servoing using invariant visual information |
title_full |
Robust image-based visual servoing using invariant visual information |
title_fullStr |
Robust image-based visual servoing using invariant visual information |
title_full_unstemmed |
Robust image-based visual servoing using invariant visual information |
title_sort |
Robust image-based visual servoing using invariant visual information |
author |
Tahri, Omar |
author_facet |
Tahri, Omar Araujo, Helder Chaumette, François Mezouar, Youcef |
author_role |
author |
author2 |
Araujo, Helder Chaumette, François Mezouar, Youcef |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Tahri, Omar Araujo, Helder Chaumette, François Mezouar, Youcef |
dc.subject.por.fl_str_mv |
Robust visual servoing Spherical projection |
topic |
Robust visual servoing Spherical projection |
description |
This paper deals with the use of invariant visual features for visual servoing. New features are proposed to control the 6 degrees of freedom of a robotic system with better linearizing properties and robustness to noise than the state of the art in image-based visual servoing. We show in this paper that by using these features the behavior of image-based visual servoing in task space can be significantly improved. Several experimental results are provided and validate our proposal. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12 |
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/10316/27729 http://hdl.handle.net/10316/27729 https://doi.org/10.1016/j.robot.2013.06.010 |
url |
http://hdl.handle.net/10316/27729 https://doi.org/10.1016/j.robot.2013.06.010 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
TAHRI, Omar [et. al] - Robust image-based visual servoing using invariant visual information. "Robotics and Autonomous Systems". ISSN 0921-8890. Vol. 61 Nº. 12 (2013) p. 1588–1600 0921-8890 http://www.sciencedirect.com/science/article/pii/S092188901300119X |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799133823799132160 |