Enhancing Edge robotics through the use of context information

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dc.contributor.author Antevski, Kiril
dc.contributor.author Groshev, Milan
dc.contributor.author Cominardi, Luca
dc.contributor.author Bernardos Cano, Carlos Jesús
dc.contributor.author Mourad, Alain
dc.contributor.author Gazda, R.
dc.date.accessioned 2019-03-29T11:56:31Z
dc.date.available 2019-03-29T11:56:31Z
dc.date.issued 2018
dc.identifier.bibliographicCitation Antevski, K., Groshev, M., Cominardi, L., Bernardos, C.J., Mourad, A. y Gazda, R. (2018). Enhancing Edge robotics through the use of context information (2018). In: Workshop on Experimentation and Measurements in 5G (EM-5G’18). ACM, 2018, pp. 7-12.
dc.identifier.isbn 978-1-4503-6083-8
dc.identifier.uri http://hdl.handle.net/10016/28260
dc.description.abstract Cloud robotics aims at endowing robot systems with powerful capabilities by leveraging the computing resources available in theCloud. To that end, the Cloud infrastructure consolidates servicesand information among the robots, enabling a degree of centralization which has the potential to improve operations. Despite beingvery promising, Cloud robotics presents two critical issues: (i) it isvery hard to control the network between the robots and the Cloud(e.g., long delays, high jitter), and (ii) local context information (e.g.,on the access network) is not available in the Cloud. This makeshard to achieve deterministic performance for robotics applications.Over the last few years, Edge computing has emerged as a trend toprovide services and computing capabilities directly in the accessnetwork. This is so because of the additional benefits enabled byEdge computing: (i) it is easier to control the network end-to-end,and (ii) local context information (e.g., about the wireless channel) can be made available for use by applications. The goal of this paperis to showcase, by means of real-life experimentation, the benefits ofresiding at the Edge for robotics applications, due to the possibilityof consuming context information locally available. In our experimentation, an application running in the Edge controls over a Wi-Filink the movement of a robot. Information related to the wirelesschannel is made available via a service at the Edge, which is thenconsumed by the application.Results show that a smoother drivingof the robot can be achieved when wireless quality information isconsidered as input of the movement control algorithm.
dc.description.sponsorship This article has been partially supported by the EU H2020 5G-CORAL Project (grant no. 761586) and by the 5G-City project (grant no. TEC2016-76795-C6-3-R) funded by the Spanish Ministry of Economy and Competitiveness.
dc.format.extent 6
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Association For Computing Machinery (ACM)
dc.rights © 2018 ACM
dc.subject.other 5G
dc.subject.other Edge
dc.subject.other MEC
dc.subject.other Robotics
dc.subject.other Experiment
dc.subject.other Evaluation
dc.subject.other Testbed
dc.title Enhancing Edge robotics through the use of context information
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2016-76795-C6-3-R
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761586
dc.type.version acceptedVersion
dc.relation.eventdate 2018-12-04
dc.relation.eventnumber 1 st
dc.relation.eventplace Heraklion, Crete, Greece.
dc.relation.eventtitle International Workshop on Experimentation and Measurements in 5G (EM-5G)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 7
dc.identifier.publicationlastpage 12
dc.identifier.publicationtitle EM-5G'18 Proceedings of the Workshop on Experimentation and Measurements in 5G.
dc.identifier.uxxi CC/0000029433
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
dc.affiliation.dpto UC3M. Departamento de Ingeniería Telemática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Network Technologies
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