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The Quest for Appropriate Human-Robot Interaction Strategies in Industrial Contexts
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. Uppsala University, Sweden. (Interaction Lab (iLab))ORCID iD: 0000-0003-0946-7531
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab (iLab))ORCID iD: 0000-0002-7554-2301
2023 (English)In: Advances in Manufacturing Technology XXXVI: Proceedings of the 20th International Conference on Manufacturing Research, Incorporating the 37th National Conference on Manufacturing Research, 6th – 8th September 2023, Aberystwyth University, UK / [ed] Andrew Thomas; Lyndon Murphy; Wyn Morris; Vincenzo Dispenza; David Jones, Amsterdam, Netherlands: IOS Press, 2023, p. 87-92Conference paper, Published paper (Refereed)
Abstract [en]

The industrial evolutions require robots to be able to share physical and social space with humans in such a way that interaction and coexistence arepositively experienced by human workers. A prerequisite is the possibility for the human and the robot to mutually perceive, interpret and act on each other's actions and intentions. To achieve this, strategies for human-robot interaction are needed that are adapted to operators’ needs and characteristics in the industrial contexts. In this paper, we aim to present various taxonomies of levels of automation, humanrobot interaction, and human-robot collaboration suggested for the envisioned factories of the future. Based on this foundation, we propose a compass direction for continued research efforts which both zooms in and zooms out on how to develop applicable human-robot interaction strategies that are worker-centric in order to obtain effective, efficient, safe, sustainable, and pleasant human-robot collaboration and coexistence.

Place, publisher, year, edition, pages
Amsterdam, Netherlands: IOS Press, 2023. p. 87-92
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 44
Keywords [en]
Interaction strategies, Human-robot interaction, Human-robot collaboration
National Category
Interaction Technologies
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-23463DOI: 10.3233/ATDE230906ISI: 001176429700013Scopus ID: 2-s2.0-85181137728ISBN: 978-1-64368-466-6 (print)ISBN: 978-1-64368-467-3 (electronic)OAI: oai:DiVA.org:his-23463DiVA, id: diva2:1818955
Conference
The 20th International Conference on Manufacturing Research, 6th – 8th September 2023, Aberystwyth University, UK
Funder
Vinnova, 2022-03012
Note

CC BY-NC 4.0

Corresponding Author: jessica.lindblom@his.se

This research was financially supported by AIHURO [2022-03012] which is sponsored by Vinnova, Sweden.

Available from: 2023-12-12 Created: 2023-12-12 Last updated: 2024-06-03Bibliographically approved

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Lindblom, JessicaAlenljung, Beatrice

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