Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Virtual Human-Robot Collaboration: The Industry's Perspective on Potential Applications and Benefits
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-6904-6945
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (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/ATDE190029Scopus ID: 2-s2.0-85092428313ISBN: 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
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge FoundationAvailable from: 2019-09-19 Created: 2019-09-19 Last updated: 2024-06-19Bibliographically approved

Open Access in DiVA

fulltext(557 kB)259 downloads
File information
File name FULLTEXT01.pdfFile size 557 kBChecksum SHA-512
9600481666216476a85725cf8b4b75101aa0c2b1163e50107891ef39f15b95a56331bc91ae0cfbe5b2664a77c7fe88b1ec37698d38665dd16172a40c1e23b3dd
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Land, NiklasSyberfeldt, Anna

Search in DiVA

By author/editor
Land, NiklasSyberfeldt, Anna
By organisation
School of Engineering ScienceVirtual Engineering Research Environment
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar
Total: 261 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 1134 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf