Improved interaction with collaborative robots - evaluation of event-specific haptic feedback in virtual reality
2024 (English)In: Procedia Computer Science, E-ISSN 1877-0509, Vol. 232, p. 1055-1064Article in journal (Refereed) Published
Abstract [en]
Industry 5.0 adopts a human-centric approach that views humans as a natural part of introducing new technology, such as collaborative robots. However, one of the main challenges in implementing collaborative robots is safety, including the sense of safety. Trust is also a primary challenge when establishing functional collaboration. Influencing factors includes experience and expertise, and research shows that Virtual Reality has the potential to perform such training. This research aims to investigate whether using virtual reality with appropriate feedback can be an effective platform for familiarization and training. In our experiment, we utilized haptic feedback from commercial Virtual Reality controllers to simulate physical interactions with collaborative robots. The experiment involved the participation of fifteen individuals. The results showed that participants regarded haptic feedback while moving as the most appropriate representation. This research aims to identify whether Virtual Reality with suitable feedback can serve as a familiarization and training platform.
Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 232, p. 1055-1064
Keywords [en]
Collaborative robots, Haptic feedback, Human-Robot Collaboration, Industry 4.0, Industry 5.0, Virtual Reality
National Category
Human Computer Interaction Robotics and automation Other Engineering and Technologies
Research subject
Virtual Production Development (VPD); VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-23730DOI: 10.1016/j.procs.2024.01.104ISI: 001196800601008Scopus ID: 2-s2.0-85189815786OAI: oai:DiVA.org:his-23730DiVA, id: diva2:1852548
Conference
5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 Lisbon 22 November 2023 through 24 November 2023
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Note
CC BY-NC-ND 4.0 DEED
© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
Correspondence Address: A. Syberfeldt; University of Skövde, Skövde, Högskolevägen 3, 541 45, Sweden; email: anna.syberfeldt@his.se
2024-04-182024-04-182025-03-10Bibliographically approved