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A simulation tool for optimizing a 3D spray painting system

dc.contributor.authorCasanova, João
dc.contributor.authorLima, José
dc.contributor.authorCosta, Paulo Gomes da
dc.date.accessioned2023-02-28T11:36:56Z
dc.date.available2023-02-28T11:36:56Z
dc.date.issued2021
dc.description.abstractThe 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.pt_PT
dc.description.sponsorshipThis work is financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia within project UIDB/50014/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCasanova, João; Lima, José; Costa, Paulo (2021). A simulation tool for optimizing a 3D spray painting system. In 2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022. Bragança. 1488, p. 110 - 122pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_9pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27286
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSpray paintingpt_PT
dc.subjectSimulatorpt_PT
dc.subjectTrajectory validationpt_PT
dc.titleA simulation tool for optimizing a 3D spray painting systempt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.endPage122pt_PT
oaire.citation.startPage110pt_PT
oaire.citation.title2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022pt_PT
oaire.citation.volume1488pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameLima
person.givenNameJosé
person.identifierR-000-8GD
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id55851941311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoveryd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isProjectOfPublication2957d2e8-0cce-46ca-8e0e-d15ccf4f290e
relation.isProjectOfPublication.latestForDiscovery2957d2e8-0cce-46ca-8e0e-d15ccf4f290e

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