Cogurcu, Y.E. orcid.org/0000-0002-9229-9657 and Maddock, S. orcid.org/0000-0003-3179-0263 (2023) Augmented reality safety zone configurations in human-robot collaboration: a user study. In: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. HRI '23: ACM/IEEE International Conference on Human-Robot Interaction, 13-16 Mar 2023, Stockholm, Sweden. Association for Computing Machinery (ACM) , pp. 360-363. ISBN 9781450399708
Abstract
Close interaction with robots in Human-Robot Collaboration (HRC) can increase worker productivity in production, but cages around the robot often limit this. Our research aims to visualise virtual safety zones around a real robot arm with Augmented Reality (AR), thereby replacing the cages. We tested our system with a collaborative pick-and-place application which mimics a real manufacturing scenario in an industrial robot cell. The shape, size and visualisation of the AR safety zones were tested with 19 participants. The overwhelming preference was for a visualisation that used cylindrical AR safety zones together with a virtual cage bars effect.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 ACM. This is an author-produced version of a paper subsequently published in HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Apr 2023 16:32 |
Last Modified: | 24 Apr 2023 10:10 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Refereed: | Yes |
Identification Number: | 10.1145/3568294.3580106 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198150 |