An overview of human-robot collaboration in smart manufacturing

Othman, Uqba and Yang, Erfu; Yang, Chenguang and Xu, Yuchun, eds. (2022) An overview of human-robot collaboration in smart manufacturing. In: 2022 27th International Conference on Automation and Computing. 2022 27th International Conference on Automation and Computing: Smart Systems and Manufacturing, ICAC 2022 . IEEE, GBR, pp. 1-6. ISBN 9781665498074 (https://doi.org/10.1109/icac55051.2022.9911168)

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Abstract

Industry 4.0, characterized as smart manufacturing, has revolutionized the industrial world with cutting-edge technologies such as collaborative robots and artificial intelligence etc. Productivity and efficiency are two key factors that determine the success level of manufacturing. Many manufacturers are eager to adopt adaptive, intuitive, collaborative and smart techniques to improve the production lines, including key manufacturing machines and other equipment. In this scenario, robotic systems are playing an increasingly vital role to decrease the need for human labour and increase automation level. Material waste is also decreasing as employing robots could provide both stability and accuracy during work. Currently, great research efforts are growing to respond to market size changes and customization processes. Researchers are focusing on enhancing the interactions between humans and robots in the work environment to exploit the benefits of human experience and the capabilities of robotic systems at the same time. This paper presents an overview of Human-Robot Collaboration (HRC) systems that are being employed in smart manufacturing to address the need for collaboration interactions between humans and robot. The research gaps, challenges and future work directions on HRC are highlighted and analysed towards smart manufacturing.

  • Item type:Book Section
    ID code:83047
    Dates:
    Date
    Event
    10 October 2022
    Published
    3 September 2022
    Published Online
    30 June 2022
    Accepted
    Notes:© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Design, Manufacture and Engineering Management
    Depositing user: Pure Administrator
    Date deposited:02 Nov 2022 16:49
    Last modified:25 Apr 2024 00:11
    URI:https://strathprints.strath.ac.uk/id/eprint/83047
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