Low cost inertial-based localization system for a service robot

Detalhes bibliográficos
Autor(a) principal: Lino, Rúben José Simões
Data de Publicação: 2011
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/5680
Resumo: Dissertation presented at Faculty of Sciences and Technology of the New University of Lisbon to attain the Master degree in Electrical and Computer Science Engineering
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spelling Low cost inertial-based localization system for a service robotLocalizationINSService robotsMobile robotsKalman filterAHRSDissertation presented at Faculty of Sciences and Technology of the New University of Lisbon to attain the Master degree in Electrical and Computer Science EngineeringThe knowledge of a robot’s location it’s fundamental for most part of service robots. The success of tasks such as mapping and planning depend on a good robot’s position knowledge. The main goal of this dissertation is to present a solution that provides a estimation of the robot’s location. This is, a tracking system that can run either inside buildings or outside them, not taking into account just structured environments. Therefore, the localization system takes into account only measurements relative. In the presented solution is used an AHRS device and digital encoders placed on wheels to make a estimation of robot’s position. It also relies on the use of Kalman Filter to integrate sensorial information and deal with estimate errors. The developed system was testes in real environments through its integration on real robot. The results revealed that is not possible to attain a good position estimation using only low-cost inertial sensors. Thus, is required the integration of more sensorial information, through absolute or relative measurements technologies, to provide a more accurate position estimation.Faculdade de Ciências e TecnologiaSousa, PedroRUNLino, Rúben José Simões2011-05-26T14:14:14Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/5680enginfo: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:RCAAP2024-03-11T03:36:26Zoai:run.unl.pt:10362/5680Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:16:26.491465Repositório 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 Low cost inertial-based localization system for a service robot
title Low cost inertial-based localization system for a service robot
spellingShingle Low cost inertial-based localization system for a service robot
Lino, Rúben José Simões
Localization
INS
Service robots
Mobile robots
Kalman filter
AHRS
title_short Low cost inertial-based localization system for a service robot
title_full Low cost inertial-based localization system for a service robot
title_fullStr Low cost inertial-based localization system for a service robot
title_full_unstemmed Low cost inertial-based localization system for a service robot
title_sort Low cost inertial-based localization system for a service robot
author Lino, Rúben José Simões
author_facet Lino, Rúben José Simões
author_role author
dc.contributor.none.fl_str_mv Sousa, Pedro
RUN
dc.contributor.author.fl_str_mv Lino, Rúben José Simões
dc.subject.por.fl_str_mv Localization
INS
Service robots
Mobile robots
Kalman filter
AHRS
topic Localization
INS
Service robots
Mobile robots
Kalman filter
AHRS
description Dissertation presented at Faculty of Sciences and Technology of the New University of Lisbon to attain the Master degree in Electrical and Computer Science Engineering
publishDate 2011
dc.date.none.fl_str_mv 2011-05-26T14:14:14Z
2011
2011-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/5680
url http://hdl.handle.net/10362/5680
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
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
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