Collaborative human-robot assembly: Methodology, simulation and industrial validation

Chen, Junshen, Mohammed, Abdullah, Alexopoulos, Theocharis and Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544 2023. Collaborative human-robot assembly: Methodology, simulation and industrial validation. Presented at: SDM 2022: Sustainable Design and Manufacturing, Split, Croatia, 14-16 September 2022. Published in: Scholz, Steffen G., Howlett, Robert J. and Setchi, Rossi eds. Sustainable Design and Manufacturing: Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Smart Innovation, Systems and Technologies , vol.338 pp. 181-190. 10.1007/978-981-19-9205-6_17

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Abstract

This paper developed an approach to integrate a human-robot collaborative assembly with a manual production line. The integration was completed effectively by exploring several collaboration algorithms. The study was conducted to enhance the working environment by improving the productivity and the quality of the production. Variability in the assembly processes was reduced, thus improving product quality and reducing rejects and reworks. The automation or robot collaboration was evaluated on one of the existing assembly lines, to help worker reduce repetitive work and increase productivity, which will also help to save labor costs over the long term. The inspection outputs from a robot are easily accessible, providing the quantitative data, analysis of which will lead to continual improvement.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
ISBN:	9789811992049
ISSN:	2190-3018
Last Modified:	06 Jul 2023 10:13
URI:	https://orca.cardiff.ac.uk/id/eprint/156003

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