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Supporting manufacturing interactions through Artificial Intelligence: An appraisal of the literature

Authors :
Kukreja Aman
Gopsill James
Su Shuo
Nassehi Aydin
Hicks Ben
Source :
MATEC Web of Conferences, Vol 401, p 08005 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

Abstract

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.

Details

Language :
English, French
ISSN :
2261236X and 20244010
Volume :
401
Database :
Directory of Open Access Journals
Journal :
MATEC Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.04ee8625bff4a99812cd8921e7bd275
Document Type :
article
Full Text :
https://doi.org/10.1051/matecconf/202440108005