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Enhancing Manual Assembly Training using Mixed Reality and Virtual Sensors
University of Skövde, School of Engineering Science.
University of Skövde, School of Engineering Science.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Virtual Production Development (VPD))ORCID iD: 0000-0002-8619-3776
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Virtual Production Development (VPD))ORCID iD: 0000-0002-1699-3778
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2024 (English)In: Procedia CIRP, E-ISSN 2212-8271, Vol. 126, p. 769-774Article in journal (Refereed) Published
Abstract [en]

In recent years Mixed Reality technology has been widely used to enhance operators in manual assembly operations. This paper introduces a Mixed Reality environment for assembly operations and describes how the process can be supported by virtual sensors. The structure of the environment allows seamless adaption from a fully virtual training scenario, only using virtual assets, to a full production scenario supporting operators in assembling physical products in actual production. The training system which has been developed together with the company Skandia Elevator in Sweden enables the operators to train with much less disturbance to the real production line compared to training using the actual production equipment. In fact, the training can be done only using virtual assets.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 126, p. 769-774
Keywords [en]
augmented reality, mixed reality, manual assembly, operator training
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
INF201 Virtual Production Development; Virtual Production Development (VPD); VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-23452DOI: 10.1016/j.procir.2024.08.328Scopus ID: 2-s2.0-85208597536OAI: oai:DiVA.org:his-23452DiVA, id: diva2:1818467
Conference
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023
Projects
ACCURATE
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Funder
Knowledge Foundation
Note

CC BY-NC-ND 4.0 DEED

Corresponding author. Tel.: +46-500-448551; E-mail address: magnus.holm@his.se

Available from: 2023-12-11 Created: 2023-12-11 Last updated: 2024-11-21Bibliographically approved

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Redondo Verdú, CeliaSempere Maciá, NataliaStrand, MattiasHolm, MagnusSchmidt, Bernard

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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
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