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dc.contributor.author | Lozano, Raúl | es_ES |
dc.contributor.author | Cantero, Miguel | es_ES |
dc.contributor.author | Fuentes, Manuel | es_ES |
dc.contributor.author | Ruiz, Jaime | es_ES |
dc.contributor.author | Benito, Ignacio | es_ES |
dc.contributor.author | Gomez-Barquero, David | es_ES |
dc.date.accessioned | 2024-10-18T07:04:24Z | |
dc.date.available | 2024-10-18T07:04:24Z | |
dc.date.issued | 2023 | es_ES |
dc.identifier.isbn | 978-87-7004-027-3 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/210509 | |
dc.description.abstract | [EN] In the last few years, the use of automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) has experienced a sustainable increase in different verticals such as factories and logistics. However, they still have some technical limitations that hamper their autonomous operation in unpre- dictable or dynamic environments, requiring them to be supervised and/or controlled by human operators. In such situations, current tele-operated driving (ToD) systems lack the required stimulation and spatial perception to precisely manipulate the AGVs/AMRs, besides suffering from real-time challenges that limit the accuracy of movement. This chapter describes a proposal to solve these problems, by combining low-latency 5G-IoT networks and immersive cockpits equipped with haptic and mixed-reality devices. It also explains how such devices provide intuitive feedback for ToD and facilitate context-aware decision-making. The results are validated in the context of two innovative demonstrations deployed in the environment of a seaport, where ToD of multiple AGVs/AMRs is supported by a 5G mm Wave network infrastructure. | es_ES |
dc.language | Inglés | |
dc.publisher | River Publishers | es_ES |
dc.relation.ispartof | Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications | es_ES |
dc.rights | Reconocimiento - No comercial (by-nc) | es_ES |
dc.subject | 5G | es_ES |
dc.subject | IoT | es_ES |
dc.subject | Haptics | es_ES |
dc.subject | Metaverse | es_ES |
dc.subject | Mixed-reality | es_ES |
dc.subject | Robotics | es_ES |
dc.subject.classification | TEORÍA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.title | Haptic and Mixed Reality Enabled Immersive Cockpits for Tele-operated Driving | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació | es_ES |
dc.description.bibliographicCitation | Lozano, R.; Cantero, M.; Fuentes, M.; Ruiz, J.; Benito, I.; Gomez-Barquero, D. (2023). Haptic and Mixed Reality Enabled Immersive Cockpits for Tele-operated Driving. En Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications. River Publishers. 301-318. http://hdl.handle.net/10251/210509 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.description.upvformatpinicio | 301 | es_ES |
dc.description.upvformatpfin | 318 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\497085 | es_ES |