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Robot@factory lite competition: a digital twin approach for the AGV

dc.contributor.authorBraun, João
dc.contributor.authorLima, José
dc.contributor.authorCosta, Paulo Gomes da
dc.contributor.authorMoreira, António Paulo G. M.
dc.date.accessioned2021-08-26T09:27:44Z
dc.date.available2021-08-26T09:27:44Z
dc.date.issued2021
dc.description.abstractRobotics competitions are environments that foster teamwork, AI, and technology development by encouraging students, researchers, and academics to test their solutions against each other. These competitions often challenge the competitors’ prototypes with tasks specifically designed to benchmark them with the current optimal solutions. During the prototype stages of a robot, the development costs and time spent are often higher than other stages, as changes in the prototype are frequent. Simulation is often used to reduce these variables as it allows flexibility in all development stages before transitioning to the real scenario. However, a digital twin can be used to increase even further flexibility and effectiveness. Digital twins are virtual representations of real assets, providing replication and prediction of real scenario events, and real-time monitoring of the real object. Thus, this paper presents the development of a digital twin of an automatic guided vehicle (AGV) to the Robot@Factory Lite competition and the tests performed to validate the approach.pt_PT
dc.description.sponsorshipThe 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/DI20/11780028. This 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.citationBraun, João; Lima, José; Costa, Paulo Gomes da; Moreira, António Paulo G. M. (2021). Robot@factory lite competition: a digital twin approach for the AGV. In 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021. p. 311-318. ISBN 978-989-758-528-9pt_PT
dc.identifier.doi10.5220/0010550203110318pt_PT
dc.identifier.isbn978-989-758-528-9
dc.identifier.urihttp://hdl.handle.net/10198/23828
dc.language.isoengpt_PT
dc.peerreviewedyespt_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.subjectDigital twinpt_PT
dc.subjectRobotics competitionspt_PT
dc.subjectAGVpt_PT
dc.subjectSimulationpt_PT
dc.subjectDC Motorspt_PT
dc.titleRobot@factory lite competition: a digital twin approach for the AGVpt_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.endPage318pt_PT
oaire.citation.startPage311pt_PT
oaire.citation.title11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBraun
person.familyNameLima
person.givenNameJoão A.
person.givenNameJosé
person.identifierR-000-8GD
person.identifier.ciencia-idBF13-D66B-7D08
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0003-0276-4314
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57211244317
person.identifier.scopus-author-id55851941311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationb8dfcbd7-1b89-48f3-afee-3e7d3f3c90d4
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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