Edge Robotics: are we ready? An experimental evaluation of current vision and future directions

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dc.contributor.author Groshev, Milan
dc.contributor.author Baldoni, Gabriele
dc.contributor.author Cominardi, Luca
dc.contributor.author Oliva Delgado, Antonio de la
dc.contributor.author Gazda, Robert
dc.date.accessioned 2022-06-28T08:17:31Z
dc.date.available 2022-06-28T08:17:31Z
dc.date.issued 2022-05-06
dc.identifier.bibliographicCitation M. Groshev, G. Baldoni, L. Cominardi, A.d.l. Oliva, R. Gazda, Edge robotics: are we ready? An experimental evaluation of current vision and future directions, Digital Communications and Networks (2022)
dc.identifier.issn 2352-8648
dc.identifier.uri http://hdl.handle.net/10016/35303
dc.description.abstract Cloud-based robotics systems leverage a wide range of Information Technologies (IT) to offer tangible benefits like cost reduction, powerful computational capabilities, data offloading, etc. However, the centralized nature of cloud computing is not well-suited for a multitude of Operational Technologies (OT) nowadays used in robotics systems that require strict real-time guarantees and security. Edge computing and fog computing are complementary approaches that aim at mitigating some of these challenges by providing computing capabilities closer to the users. The goal of this work is hence threefold: i) to analyze the current edge computing and fog computing landscape in the context of robotics systems, ii) to experimentally evaluate an end-to-end robotics system based on solutions proposed in the literature, and iii) to experimentally identify current benefits and open challenges of edge computing and fog computing. Results show that, in the case of an exemplary delivery application comprising two mobile robots, the robot coordination and range can be improved by consuming real-time radio information available at the edge. However, our evaluation highlights that the existing software, wireless and virtualization technologies still require substantial evolution to fully support edge-based robotics systems.
dc.description.sponsorship This work has been partially funded by European Union’s Horizon 2020 research and innovation programme under grant agreement No 101015956, and the Spanish Ministry of Economic Affairs and Digital Transformation and the European Union- NextGenerationEU through the UNICO 5G I+ D 6G-EDGEDT and 6G-DATADRIVEN
dc.format.extent 12
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2022 Chongqing University of Posts and Telecommunications. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Edge
dc.subject.other Robotics
dc.subject.other Experimental
dc.subject.other Experimental
dc.subject.other Fog
dc.subject.other Mec
dc.subject.other Virtualization
dc.subject.other Ros
dc.subject.other Fog05
dc.title Edge Robotics: are we ready? An experimental evaluation of current vision and future directions
dc.type article
dc.subject.eciencia Robótica e Informática Industrial
dc.identifier.doi https://doi.org/10.1016/j.dcan.2022.04.032
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/GA-101015956
dc.relation.projectID Gobierno de España. TSI-063000-2021-129
dc.relation.projectID Gobierno de España. UNICO 5G I+D
dc.relation.projectID Gobierno de España. 6G-EDGEDT
dc.relation.projectID Gobierno de España. 6G-DATADRIVEN
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 12
dc.identifier.publicationtitle Digital Communications and Networks
dc.identifier.uxxi AR/0000030946
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Asuntos Económicos y Transformación Digital (España)
dc.affiliation.dpto UC3M. Departamento de Ingeniería Telemática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Network Technologies
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