Publication:
An Intelligent Edge-based Digital Twin for Robotics

dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorGirletti, Luigi
dc.contributor.authorGroshev, Milan
dc.contributor.authorMagalhaes Guimaraes, Carlos Eduardo
dc.contributor.authorBernardos Cano, Carlos Jesús
dc.contributor.authorOliva Delgado, Antonio de la
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2021-05-20T08:32:26Z
dc.date.available2021-05-20T08:32:26Z
dc.date.issued2020-12-07
dc.descriptionThis paper has been presented at 2020 IEEE Globecom Workshop on Advanced Technology for 5G Plus.en
dc.description.abstractDigital Twin is one of the use cases targeted by the fourth industrial revolution (Industry 4.0), which, through the digitalization of the robotic systems, will enable enhanced automation and remote controlling capabilities. Building upon this concept, this work proposes a solution for an Edge-based Digital Twin for robotics, which leverages on the cloud-to-things continuum to offload computation and intelligence from the robots to the network. This imposes stringent requirements over the communication technologies which are fulfilled by relying on 5G. This solution is implemented in an E2E scenario combining the cloud-to-things continuum, 5G connectivity and intelligence capabilities and validated through a set of experimental evaluations. Results show not only that offloading the robot's functions to the edge is feasible when supported by the 5G connectivity, but also the benefits of introducing intelligence and automation.en
dc.description.sponsorshipThis work has been (partially) funded by H2020 EU/TW 5G-DIVE (Grant 859881) and H2020 5Growth (Grant 856709). It has been also funded by the Spanish State Research Agency (TRUE5G project, PID2019-108713RB-C52PID2019-108713RB-C52 / AEI / 10.13039/501100011033).en
dc.format.extent6
dc.identifier.bibliographicCitationGirletti, L., Groshev, M., Guimarães, C., Bernardos, C. J. y Oliva, A.de la (2020). An Intelligent Edge-based Digital Twin for Robotics. In Proceedings of 2020 IEEE Globecom Workshops (GC Workshops).en
dc.identifier.doihttps://doi.org/10.1109/GCWkshps50303.2020.9367549
dc.identifier.isbn978-1-7281-7308-5
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage6
dc.identifier.publicationtitle2020 IEEE Globecom Workshops (GC Wkshps)en
dc.identifier.urihttps://hdl.handle.net/10016/32691
dc.identifier.uxxiCC/0000031668
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate07/12/2020-11/12/2020
dc.relation.eventplaceTaipei, Taiwanen
dc.relation.eventtitle2020 IEEE Globecom Workshop on Advanced Technology for 5G Plusen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/859881en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856709en
dc.rights© 2020 IEEE.en
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherIntelligenceen
dc.subject.otherDigital twinen
dc.subject.otherEdge and fogen
dc.subject.other5Gen
dc.titleAn Intelligent Edge-based Digital Twin for Roboticsen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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