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Exploiting extended reality under the Manufacturing as a Service paradigm

  • Letizia Nicoletti
    ,
  • Vittorio Solina
    ,
  • Kandarp Amin
    ,
  • Christina C. Lessi
    ,
  • Paul McHard
    ,
  • Cal-Tek Srl
    ,
  • University of Calabria
    ,
  • TWI (The Welding Institute)
    ,
  • Hellenic Telecommunications Organization S.A.
    ,
  • HAL Robotics Ltd
    ,
  • Cranfield University
Research Output: Contribution to journal Conference article Peer-review

Open access

Abstract

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. *

Publication Information

Output type

Research Output: Contribution to journal Conference article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2213-2219 (7 pages)

Journal (Volume, Issue Number)

Procedia Computer Science (Volume 232, Issue 2024)

Publication milestones

  • Accepted/In press - 12/06/2022
  • Published - 20/03/2024

Publication status

Published - 20/03/2024

ISSN

1877-0509

External Publication IDs

  • handle.net: 10547/626346
  • Scopus: 85189792314