Edge accelerated AI for robotic teleoperation

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dc.check.date2025-10-23
dc.check.infoAccess to this paper is restricted until after the conference has taken placeen
dc.contributor.authorKeary, Alphonsusen
dc.contributor.authorAmer, Nehalen
dc.contributor.authorEmam, Masouden
dc.contributor.authorDunne, Alanen
dc.contributor.authorTorres, Javieren
dc.contributor.authorO'Riordan, Kateen
dc.contributor.authorWalsh, Michaelen
dc.contributor.authorO'Flynn, Brendanen
dc.contributor.funderHorizon 2020en
dc.contributor.funderResearch Irelanden
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2025-09-04T15:44:32Z
dc.date.available2025-09-04T15:44:32Z
dc.date.issued2025en
dc.description.abstractThis paper presents a body of work on the development of edge accelerated AI hardware and software components related to robotic teleoperations. In particular, the paper proposes a system based architecture incorporating teleoperations communications layers in the form of a local to remote edge based stack, along with a Time of Flight (ToF) sensor layer, delivering user controls via real time hand and gesture signals for robotic teleoperations. Typical use cases include, remote skills delivery, precision robot manipulation, factory of the future, dangerous work environments and many other Industry 4.0/5.0 scenarios.en
dc.description.sponsorshipResearch Ireland (21/RC/10303; 12/RC/ 2289 -P2)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationKeary, A., Amer, N., Emam, M., Dunne, A., Torres, J., O'Riordan, K., Walsh, M. and O’Flynn, B. (2025) 'Edge accelerated AI for robotic teleoperation', IEEE Sensors 2025, Vancouver, Canada, 19-22 October. [Forthcoming]en
dc.identifier.urihttps://hdl.handle.net/10468/17824
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::ECSEL-RIA/101007311/EU/Intelligent Motion Control under Industry 4.E/IMOCO4.Een
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/Research Centres Programme/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.rights© 2025, IEEE. This accepted Manuscript is made available under the CC BY license.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectIndustrial automationen
dc.subjectArtificial Intelligenceen
dc.subjectIndustry 4.0en
dc.subjectIndustry 5.0en
dc.subjectEdge computingen
dc.subjectPLCsen
dc.subjectProfineten
dc.subjectRapIDen
dc.titleEdge accelerated AI for robotic teleoperationen
dc.typeConference itemen
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