Issue |
MATEC Web Conf.
Volume 401, 2024
21st International Conference on Manufacturing Research (ICMR2024)
|
|
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Article Number | 08005 | |
Number of page(s) | 6 | |
Section | Sensors, Control, Robotics and Automation | |
DOI | https://doi.org/10.1051/matecconf/202440108005 | |
Published online | 27 August 2024 |
Supporting manufacturing interactions through Artificial Intelligence: An appraisal of the literature
University of Bristol
* Corresponding author: aman.kukreja@bristol.ac.uk
Artificial Intelligence (AI) is transforming how society works, from real-time classification mechanisms and enhanced patient diagnoses to large language models that can assist workers in real-time. With the increasing interest of the industry in digitising manufacturing, the role of AI will become even more important in promoting meaningful interactions among various stakeholders. This paper appraises AI manufacturing research from the lens of machine/process, human and system interaction. The results show that much of the literature has supported intra-machine/process and system-level interactions. Human-machine and machine-machine are less well-researched, and these require further investigation if society wishes to move to fully integrated Manufacturing Metaverse.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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