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Towards an ontology to capture human attributes in human-robot collaboration

Published online by Cambridge University Press:  16 May 2024

Stephanie Hall ,
Mandeep Dhanda  and
Vimal Dhokia
Stephanie Hall*
Affiliation:
University of Bath, United Kingdom
Mandeep Dhanda
Affiliation:
University of Bath, United Kingdom
Vimal Dhokia
Affiliation:
University of Bath, United Kingdom
*
sjh224@bath.ac.uk

Abstract

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A core predicate of Industry 5.0 (I5.0) is the integration of human, environmental and social factors with new technologies. The integration of collaborative robots offers increased productivity but raises questions on safety and how robots can respond to varying cognitive and physical attributes. This paper discusses the significance of structured ontologies in managing complex information for proactive, safe, and productive human-robot collaboration. The paper highlights the future work to be undertaken to ensure the safe and fluid integration of humans and robots within I5.0.

Keywords

ontologyhuman-robot collaborationhuman behaviour

Information

Type
Systems Engineering and Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2585 - 2594
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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