Publication
Simulation on Digital Twin: Role of Artificial Intelligence and Emergence of Industrial Metaverse
| dc.contributor.author | Júnior, Alexandre O. | |
| dc.contributor.author | Calvo-Rolle, Jose Luis | |
| dc.contributor.author | Leitão, Paulo | |
| dc.date.accessioned | 2024-10-09T15:18:30Z | |
| dc.date.available | 2024-10-09T15:18:30Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Digital Twins (DTs) are cutting-edge technological design principles of Industry 4.0. They elevate the representation level of physical systems backed up by accurate real-time data in virtual environments and empower the simulation capabilities of these systems through Artificial Intelligence (AI) for their analysis, monitoring, and optimization. This work comprehensively explores the intrinsic interaction between simulation and AI in DTs, meticulously covering the current literature status and categorizing these symbiotic interactions into three different groups that cover AI to support DT-based simulation, AI for optimization of simulation within DT, and simulation to support AI approaches in DT. In addition, a deeper look is taken at the role of simulation and AI in the emerging concept of the Industrial Metaverse, which promises to extend DTs beyond discrete virtual representation of physical systems to encompass the industrial ecosystem from end-to-end. Finally, the main research challenges for achieving the full integration of simulation and AI in DTs and at the Industrial Metaverse are discussed. | pt_PT |
| dc.description.sponsorship | This work was supported by the Foundation for Science and Technology (FCT, Portugal) through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). The author Alexandre Júnior thanks FCT, Portugal, for the PhD grant BD/03967/2023. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Júnior, Alexandre O.; Calvo-Rolle, José Luis; Leitao, Paulo (2024). Simulation on Digital Twin: Role of Artificial Intelligence and Emergence of Industrial Metaverse. In 33rd International Symposium on Industrial Electronics (ISIE). IEEE, p. 1-6. ISBN 979-8-3503-9408-5 | pt_PT |
| dc.identifier.doi | 10.1109/ISIE54533.2024.10595676 | pt_PT |
| dc.identifier.isbn | 979-8-3503-9408-5 | |
| dc.identifier.uri | http://hdl.handle.net/10198/30399 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Digital Twin | pt_PT |
| dc.subject | Simulation | pt_PT |
| dc.subject | Artificial Intelligence | pt_PT |
| dc.subject | Machine Learning | pt_PT |
| dc.subject | Industrial Metaverse | pt_PT |
| dc.title | Simulation on Digital Twin: Role of Artificial Intelligence and Emergence of Industrial Metaverse | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT | |
| oaire.citation.endPage | 6 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | 33rd International Symposium on Industrial Electronics (ISIE) | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Leitão | |
| person.givenName | Paulo | |
| person.identifier | A-8390-2011 | |
| person.identifier.ciencia-id | 8316-8F13-DA71 | |
| person.identifier.orcid | 0000-0002-2151-7944 | |
| person.identifier.scopus-author-id | 35584388900 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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