Bettoni, Andrea and Montini, Elias and Righi, Massimiliano and Villani, Valeria and Tsvetanov, Radostin and Borgia, Stefano and Secchi, Cristian and Carpanzano, Emanuele (2020) Mutualistic and adaptive human-machine collaboration based on machine learning in an injection moulding manufacturing line. Procedia CIRP, 93. pp. 395-400.
Full text not available from this repository.Abstract
This paper proposes an adaptive human-machine collaboration paradigm based on machine learning. Human-machine collaboration requires more than letting humans and machines interact according to fixed rules. A decision-maker is needed to assess production status and to activate adaptations that improve productivity and workers’ well-being. The proposed solution has been tested in an injection moulding manufacturing line. By introducing a physiological monitoring system and a smart decision-maker, relief from fatigue and mental stress is pursued by adjusting the level of support offered through a cobot. Results reported a reduction of operators’ physical and mental workload as well as productivity increase.
| Item Type: | Scientific journal article, Newspaper article or Magazine article |
|---|---|
| Subjects: | Engineering Engineering > Production & manufacturing engineering |
| Department/unit: | Dipartimento tecnologie innovative |
| Depositing User: | Elias Montini |
| Date Deposited: | 01 Mar 2022 08:14 |
| Last Modified: | 01 Mar 2022 08:19 |
| URI: | http://repository.supsi.ch/id/eprint/13248 |
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