Supporting manufacturing interactions through Artificial Intelligence: An appraisal of the literature
| Autor: | Kukreja Aman, Gopsill James, Su Shuo, Nassehi Aydin, Hicks Ben |
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| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | MATEC Web of Conferences, Vol 401, p 08005 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2261-236X 20244010 |
| DOI: | 10.1051/matecconf/202440108005 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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