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A simulation tool for optimizing a 3D spray painting system

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Resumo:The lack of general robotics purposed, accurate open source simulators is a major setback that limits the optimized trajectory generation research and general evolution of the robotics field. Spray painting is a particular case that has multiple advantages in using a simulator for exploring new algorithms, mainly the waste of materials and the dangers associated with a robotic manipulator. This paper demonstrates an implementation of spray painting on a previously existing simulator, SimTwo. Several metrics for optimization that evaluate the painted result are also proposed. In order to validate the implementation, we conducted a real world experiment that serves both as proof that the chosen spray distribution model translates to reality and as a way to calibrate the model parameters.
Autores principais:Casanova, João
Outros Autores:Lima, José; Costa, Paulo Gomes da
Assunto:Spray painting Simulator Trajectory validation
Ano:2021
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Casanova, João
author2 Lima, José
Costa, Paulo Gomes da
author2_role author
author
author_facet Casanova, João
Lima, José
Costa, Paulo Gomes da
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Casanova, João\"},{\"Person.name\":\"Lima, José\",\"Person.identifier.orcid\":\"0000-0001-7902-1207\"},{\"Person.name\":\"Costa, Paulo Gomes da\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Casanova, João
Lima, José
Costa, Paulo Gomes da
datacite.date.Accepted.fl_str_mv 2021-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2023-02-28T11:36:56Z
datacite.date.embargoed.fl_str_mv 2023-02-28T11:36:56Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Spray painting
Simulator
Trajectory validation
datacite.titles.title.fl_str_mv A simulation tool for optimizing a 3D spray painting system
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Casanova, João
Lima, José
Costa, Paulo Gomes da
dc.date.Accepted.fl_str_mv 2021-01-01T00:00:00Z
dc.date.available.fl_str_mv 2023-02-28T11:36:56Z
dc.date.embargoed.fl_str_mv 2023-02-28T11:36:56Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/27286
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Springer
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Spray painting
Simulator
Trajectory validation
dc.title.fl_str_mv A simulation tool for optimizing a 3D spray painting system
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description The lack of general robotics purposed, accurate open source simulators is a major setback that limits the optimized trajectory generation research and general evolution of the robotics field. Spray painting is a particular case that has multiple advantages in using a simulator for exploring new algorithms, mainly the waste of materials and the dangers associated with a robotic manipulator. This paper demonstrates an implementation of spray painting on a previously existing simulator, SimTwo. Several metrics for optimization that evaluate the painted result are also proposed. In order to validate the implementation, we conducted a real world experiment that serves both as proof that the chosen spray distribution model translates to reality and as a way to calibrate the model parameters.
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eu_rights_str_mv restrictedAccess
format conferencePaper
fulltext.url.fl_str_mv https://bibliotecadigital.ipb.pt/bitstreams/5d34a36e-176d-41c1-a6a6-8b6ccbcfb00a/download
funding.funder.alternateName_str_mv FCT
funding.funder.identifier_str_mv http://doi.org/10.13039/501100001871
funding.funder.name_str_mv Fundação para a Ciência e a Tecnologia
funding.name_str_mv 6817 - DCRRNI ID
id ipb_acf045f1ccb5f8eddce52a207cd7bd36
identifier.url.fl_str_mv http://hdl.handle.net/10198/27286
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institution Instituto Politécnico de Bragança
instname_str Instituto Politécnico de Bragança
language eng
network_acronym_str ipb
network_name_str Biblioteca Digital do IPB
oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/27286
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Casanova, João
Lima, José
Lima, José
https://www.ciencia-id.pt/6016-C902-86A9
6016-C902-86A9
http://orcid.org/0000-0001-7902-1207
0000-0001-7902-1207
Costa, Paulo Gomes da
publishDate 2021
publisher.none.fl_str_mv Springer
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
service_str_mv urn:repositoryAcronym:ipb
spelling engSpringerpt_PTThe lack of general robotics purposed, accurate open source simulators is a major setback that limits the optimized trajectory generation research and general evolution of the robotics field. Spray painting is a particular case that has multiple advantages in using a simulator for exploring new algorithms, mainly the waste of materials and the dangers associated with a robotic manipulator. This paper demonstrates an implementation of spray painting on a previously existing simulator, SimTwo. Several metrics for optimization that evaluate the painted result are also proposed. In order to validate the implementation, we conducted a real world experiment that serves both as proof that the chosen spray distribution model translates to reality and as a way to calibrate the model parameters.application/pdfpt_PTA simulation tool for optimizing a 3D spray painting systemCasanova, JoãoPersonalLima, JoséDSpacehttp://dspace.org/items/d88c2b2a-efc2-48ef-b1fd-1145475e0055DSpacehttp://dspace.org/items/d88c2b2a-efc2-48ef-b1fd-1145475e0055LimaJoséCiência IDhttps://www.ciencia-id.pt6016-C902-86A9ORCIDhttp://orcid.org0000-0001-7902-1207Researcher IDhttps://www.researcherid.comL-3370-2014Scopus Author IDhttps://www.scopus.com55851941311Costa, Paulo Gomes daHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptDOIIsPartOf10.1007/978-3-030-91885-9_92023-02-28T11:36:56Z20212021-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/27286http://purl.org/coar/access_right/c_16ecrestricted accessSpray paintingSimulatorTrajectory validation1890028 bytesFundação para a Ciência e a TecnologiaINESC TEC- Institute for Systems and Computer Engineering, Technology and Science6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2021http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/5d34a36e-176d-41c1-a6a6-8b6ccbcfb00a/download2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 20221488110122Bragança
spellingShingle A simulation tool for optimizing a 3D spray painting system
Casanova, João
Spray painting
Simulator
Trajectory validation
status SINGLETON
subject.fl_str_mv Spray painting
Simulator
Trajectory validation
title A simulation tool for optimizing a 3D spray painting system
title_full A simulation tool for optimizing a 3D spray painting system
title_fullStr A simulation tool for optimizing a 3D spray painting system
title_full_unstemmed A simulation tool for optimizing a 3D spray painting system
title_short A simulation tool for optimizing a 3D spray painting system
title_sort A simulation tool for optimizing a 3D spray painting system
topic Spray painting
Simulator
Trajectory validation
topic_facet Spray painting
Simulator
Trajectory validation
url http://hdl.handle.net/10198/27286
visible 1