Oyekan, J.O., Hutabarat, W. orcid.org/0000-0001-7393-7695, Tiwari, A. et al. (7 more authors) (2019) The effectiveness of virtual environments in developing collaborative strategies between industrial robots and humans. Robotics and Computer-Integrated Manufacturing, 55. pp. 41-54. ISSN 0736-5845
Abstract
Testing and implementation of Human-Robot Collaboration (HRC) could be dangerous due to the high-speed movements and massive forces generated by industrial robots. Wherever humans and industrial robots share a common workplace, accidents are likely to happen and always unpredictable. This has hindered the development of human robot collaborative strategies as well as the ability of authorities to pass regulations on how humans and robots should work together in close proximities. This paper presents the use of a Virtual Reality digital twin of a physical layout as a mechanism to understand human reactions to both predictable and unpredictable robot motions. A set of established metrics as well as a newly developed Kinetic Energy Ratio metric are used to analyse human reactions and validate the effectiveness of the Virtual Reality environment. It is the aim that Virtual Reality digital twins could inform the safe implementation of Human-Robot Collaborative strategies in factories of the future.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier. This is an author produced version of a paper subsequently published in Robotics and Computer-Integrated Manufacturing. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Reaction metrics; Human robot collaboration; Virtual reality; Digital twin; Health & safety regulations; Manufacturing |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Sep 2018 10:36 |
Last Modified: | 29 Jul 2019 00:45 |
Published Version: | https://doi.org/10.1016/j.rcim.2018.07.006 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.rcim.2018.07.006 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135604 |