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Classification of Collaboration Levels for Human-Robot Cooperation in Manufacturing
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Användarcentrerad produktdesign, User Centred Product Design)ORCID iD: 0000-0003-2627-0079
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab)ORCID iD: 0000-0002-8937-8063
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab)ORCID iD: 0000-0003-0946-7531
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018,  University of Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam: IOS Press, 2018, p. 151-156Conference paper, Published paper (Refereed)
Abstract [en]

Industry 4.0 aims to support the factory of the future, which involves increased amounts of information systems and new ways of using automation. One new usage is collaboration between human and industrial robot in manufacturing, with both partners sharing work on a single task. Supporting human-robot collaboration (HRC) requires understanding the requirements of HRC as well as the differences to existing approaches where the goal is more automation, such as in the case of self-driving cars. We propose a framework that we call levels of collaboration to support this, and posit that this framework supports a mental model conducive to the design of lines incorporating HRC.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018. p. 151-156
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords [en]
Human-robot collaboration, Manufacturing, Industry 4.0
National Category
Robotics
Research subject
INF302 Autonomous Intelligent Systems; User Centred Product Design; Interaction Lab (ILAB); INF202 Virtual Ergonomics
Identifiers
URN: urn:nbn:se:his:diva-16117DOI: 10.3233/978-1-61499-902-7-151ISI: 000462212700025Scopus ID: 2-s2.0-85057431589ISBN: 978-1-61499-901-0 (print)ISBN: 978-1-61499-902-7 (electronic)OAI: oai:DiVA.org:his-16117DiVA, id: diva2:1244317
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Projects
KK-stiftelsen AIR - SIDUS nr 20140220ManuWork (EU) nr 723711
Funder
EU, Horizon 2020, 723711Knowledge Foundation, 20140220
Note

Detta arbete är finansierat både av AIR(KK)  och ManuWork (EU).

Available from: 2018-08-31 Created: 2018-08-31 Last updated: 2019-04-05Bibliographically approved

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Kolbeinsson, AriLagerstedt, ErikLindblom, Jessica

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Citation style
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