Exploiting extended reality under the Manufacturing as a Service paradigm
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Authors
Nicoletti, LetiziaSolina, Vittorio
Amin, Kandarp
Lessi, Christina C.
McHard, Paul
Qiu, Renxi
Tedeschi, Stefano
Affiliation
CAL-TEK SrlUniversity of Calabria
TWI Ltd
Hellenic Telecommunications Organization
HAL Robotics Ltd
University of Bedfordshire
Cranfield University
Issue Date
2024-03-20Subjects
extended realityManufacturing as a Service
smart operator
smart factory
cloud manufacturing
Subject Categories::H711 Manufacturing Systems Design
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The advent of new technologies and concepts such as Extended Reality (XR), Cloud Manufacturing, Digital Twin, Industrial Internet of Things is completely changing the manufacturing landscape. Innovative digital tools are available to increase the competitiveness and efficiency of companies. The XR can support the Smart Operator in production, maintenance and training activities. Similarly, Manufacturing as a Service, which is a variation of Cloud Manufacturing, can make corporate architectural systems more flexible and scalable. In this paper, some preliminary results relating to the European 5G-ERA project and the synergistic work that the companies CAL-TEK, TWI and HAL Robotics are conducting is shown. An XR-oriented architecture is proposed, whose usefulness is emphasized by the use of the MaaS concept, and the implementation of a Mixed Reality application is shown, to support an on-site operator. Future developments concern the implementation of a Virtual Reality application for the off-site operator, and the use of the 5G-ERA middleware to exploit the potential of the MaaS paradigm. *Citation
Nicoletti L, Solina V, Amin K, Lessi C, McHard P, Qiu R, Tedeschi S (2024) 'Exploiting extended reality under the Manufacturing as a Service paradigm', Procedia Computer Science, 232 (2024), pp.2213-2219.Publisher
ElsevierJournal
Procedia Computer ScienceAdditional Links
https://www.sciencedirect.com/science/article/pii/S1877050924002175Type
ArticleLanguage
enISSN
1877-0509Sponsors
This research work was partly supported by the 5G-ERA (5G Enhanced Robot Autonomy - https://5g-era.eu/) Project, which received funding from the European Union's Horizon 2020 Research and Innovation programme (grant agreement No. 101016681).ae974a485f413a2113503eed53cd6c53
10.1016/j.procs.2024.02.040
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