An Intelligent Edge-based Digital Twin for Robotics

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dc.contributor.author Girletti, Luigi
dc.contributor.author Groshev, Milan
dc.contributor.author Magalhaes Guimaraes, Carlos Eduardo
dc.contributor.author Bernardos Cano, Carlos Jesús
dc.contributor.author Oliva Delgado, Antonio de la
dc.date.accessioned 2021-05-20T08:32:26Z
dc.date.available 2021-05-20T08:32:26Z
dc.date.issued 2020-12-07
dc.identifier.bibliographicCitation Girletti, 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).
dc.identifier.isbn 978-1-7281-7308-5
dc.identifier.uri http://hdl.handle.net/10016/32691
dc.description This paper has been presented at 2020 IEEE Globecom Workshop on Advanced Technology for 5G Plus.
dc.description.abstract Digital 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.
dc.description.sponsorship This 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).
dc.format.extent 6
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2020 IEEE.
dc.subject.other Intelligence
dc.subject.other Digital twin
dc.subject.other Edge and fog
dc.subject.other 5G
dc.title An Intelligent Edge-based Digital Twin for Robotics
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/GCWkshps50303.2020.9367549
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/859881
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/856709
dc.type.version acceptedVersion
dc.relation.eventdate 07/12/2020-11/12/2020
dc.relation.eventplace Taipei, Taiwan
dc.relation.eventtitle 2020 IEEE Globecom Workshop on Advanced Technology for 5G Plus
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 6
dc.identifier.publicationtitle 2020 IEEE Globecom Workshops (GC Wkshps)
dc.identifier.uxxi CC/0000031668
dc.contributor.funder European Commission
dc.affiliation.dpto UC3M. Departamento de Ingeniería Telemática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Network Technologies
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