Oliff, Harley ![]() ![]() ![]() |
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Abstract
Recent developments in the field of intelligent manufacturing have led to increased levels of automation and robotic operators becoming commonplace within manufacturing processes. However, the human component of such systems remains prevalent, resulting in significant disturbance and uncertainty. Consequently, semi-automated processes are difficult to optimise. This paper studies the relationships between robotic and human operators to develop the understanding of how the human influence affects these production processes, and proposes a framework to integrate and implement knowledge of such factors, with the aim of improving Human-Machine-Interaction, facilitating bi-directional collaboration, and increasing productivity and quality, supported by an example case-study.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering Business (Including Economics) |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TS Manufactures |
Publisher: | Elsevier |
ISSN: | 2212-8271 |
Date of First Compliant Deposit: | 28 June 2018 |
Date of Acceptance: | 27 June 2018 |
Last Modified: | 03 May 2023 22:06 |
URI: | https://orca.cardiff.ac.uk/id/eprint/112826 |
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