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Virtual Human-Robot Collaboration: The Industry's Perspective on Potential Applications and Benefits
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-6904-6945
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-3973-3394
GKN Aerospace Sweden AB, Trollhättan, Sweden.
Volvo Group Trucks Operations, AB Volvo, Gothenburg, Sweden.
2019 (English)In: Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK / [ed] Yan Jin, Mark Price, Amsterdam: IOS Press, 2019, Vol. 9, p. 161-166Conference paper, Published paper (Refereed)
Abstract [en]

Two keystones of Industry 4.0 are the increased use of autonomous robots and advanced simulation software. Human-Robot Collaboration (HRC) combines the strengths of humans and robots, opening up application areas that previously could not be automated. However, the realization of HRC on industrial shop floors is held back by several challenges: safety, trust, the need for intuitive interfaces, and design methods. This study investigates the automotive industry’s perspective on relevant application areas and potential benefits of HRC. The data were collected through a survey of 185 participants from a variety of working roles in the automotive industry. The results of the study indicate that participants from the automotive industry consider that the areas best suited to the implementation of collaborative robots are material handling, assembly, and quality control, with potential benefits in ergonomics, efficiency, and quality. The results can be used for the development of a future virtual HRC simulation model.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2019. Vol. 9, p. 161-166
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 9
Keywords [en]
Human-Robot Collaboration, Virtual Simulation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
VF-KDO; Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-17704DOI: 10.3233/ATDE190029ISBN: 978-1-64368-008-8 (print)ISBN: 978-1-64368-009-5 (electronic)OAI: oai:DiVA.org:his-17704DiVA, id: diva2:1352506
Conference
17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK
Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2019-09-24Bibliographically approved

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Land, NiklasSyberfeldt, Anna

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