Robot at factory 4.0: an auto-referee proposal based on artificial vision
Autor(a) principal: | |
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Data de Publicação: | 2023 |
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/10198/27478 |
Resumo: | The robotization and automation of tasks are relevant processes and of great relevance to be considered nowadays. This work aims to turn the manual action of assigning the score for the robotic competition Robot at Factory 4.0 by an automatic referee. Specifically, the aim is to represent the real space in a set of computational information using computer vision, localization and mapping techniques. One of the crucial processes to achieve this goal involved the adaptive calibration of the parameters of a digital camera through visual references and tracking of objects, which resulted in a fully functional, robust and dynamic system that is capable of mapping the competition’s objects accurately and correctly performing the referee’s tasks. |
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Robot at factory 4.0: an auto-referee proposal based on artificial visionEngineering educationRobot at factoryCamera calibrationPose estimationComputer visionSTEMEducation 4.0The robotization and automation of tasks are relevant processes and of great relevance to be considered nowadays. This work aims to turn the manual action of assigning the score for the robotic competition Robot at Factory 4.0 by an automatic referee. Specifically, the aim is to represent the real space in a set of computational information using computer vision, localization and mapping techniques. One of the crucial processes to achieve this goal involved the adaptive calibration of the parameters of a digital camera through visual references and tracking of objects, which resulted in a fully functional, robust and dynamic system that is capable of mapping the competition’s objects accurately and correctly performing the referee’s tasks.This work is financed by National Funds through the Portuguese funding agency, FCT - Funda¸c˜ao para a Ciˆencia e a Tecnologia, within projects LA/P/0063/2020 and POCI-01-0247-FEDER-072638, co-funded by FEDER through COMPETE 2020. Authors acknowledge 5DPO RobotAtFactory team for making their time and robot available to conduct tests. The project that gave rise to these results received the support of a fellowship from “la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI20/11780028SpringerBiblioteca Digital do IPBFerreira, TonyBraun, JoãoLima, JoséPinto, Vítor H.Santos, MurilloCosta, Paulo Gomes da2023-03-06T12:16:16Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/27478engFerreira, Tony; Braun, João; Lima, José; Pinto, Vítor H.; Santos, Murillo; Costa, Paulo (2023). Robot at factory 4.0: an auto-referee proposal based on artificial vision. In 5th Iberian Robotics Conference, ROBOT 2022. Zaragoza. 589, p.475-487. ISBN 978-3-0312-1064-8978-3-0312-1064-810.1007/978-3-031-21065-5_39info: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:RCAAP2024-02-07T01:18:48Zoai:bibliotecadigital.ipb.pt:10198/27478Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:17:34.061640Repositório 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 |
Robot at factory 4.0: an auto-referee proposal based on artificial vision |
title |
Robot at factory 4.0: an auto-referee proposal based on artificial vision |
spellingShingle |
Robot at factory 4.0: an auto-referee proposal based on artificial vision Ferreira, Tony Engineering education Robot at factory Camera calibration Pose estimation Computer vision STEM Education 4.0 |
title_short |
Robot at factory 4.0: an auto-referee proposal based on artificial vision |
title_full |
Robot at factory 4.0: an auto-referee proposal based on artificial vision |
title_fullStr |
Robot at factory 4.0: an auto-referee proposal based on artificial vision |
title_full_unstemmed |
Robot at factory 4.0: an auto-referee proposal based on artificial vision |
title_sort |
Robot at factory 4.0: an auto-referee proposal based on artificial vision |
author |
Ferreira, Tony |
author_facet |
Ferreira, Tony Braun, João Lima, José Pinto, Vítor H. Santos, Murillo Costa, Paulo Gomes da |
author_role |
author |
author2 |
Braun, João Lima, José Pinto, Vítor H. Santos, Murillo Costa, Paulo Gomes da |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Ferreira, Tony Braun, João Lima, José Pinto, Vítor H. Santos, Murillo Costa, Paulo Gomes da |
dc.subject.por.fl_str_mv |
Engineering education Robot at factory Camera calibration Pose estimation Computer vision STEM Education 4.0 |
topic |
Engineering education Robot at factory Camera calibration Pose estimation Computer vision STEM Education 4.0 |
description |
The robotization and automation of tasks are relevant processes and of great relevance to be considered nowadays. This work aims to turn the manual action of assigning the score for the robotic competition Robot at Factory 4.0 by an automatic referee. Specifically, the aim is to represent the real space in a set of computational information using computer vision, localization and mapping techniques. One of the crucial processes to achieve this goal involved the adaptive calibration of the parameters of a digital camera through visual references and tracking of objects, which resulted in a fully functional, robust and dynamic system that is capable of mapping the competition’s objects accurately and correctly performing the referee’s tasks. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-06T12:16:16Z 2023 2023-01-01T00:00:00Z |
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/10198/27478 |
url |
http://hdl.handle.net/10198/27478 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ferreira, Tony; Braun, João; Lima, José; Pinto, Vítor H.; Santos, Murillo; Costa, Paulo (2023). Robot at factory 4.0: an auto-referee proposal based on artificial vision. In 5th Iberian Robotics Conference, ROBOT 2022. Zaragoza. 589, p.475-487. ISBN 978-3-0312-1064-8 978-3-0312-1064-8 10.1007/978-3-031-21065-5_39 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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