Abstract
The research community is producing a tremendous amount of works with the sole purpose to prepare for the next industrial revolution. In the context of the development of cyber-physical systems to production systems, a variety of technologies and architectures integrating humans and machines are studied. Results are evaluated using platforms to identify the best solutions. However, most platforms are designed to test one approach in a specific domain and the human integration remains difficult to evaluate. As the cooperation aspect between Humans and machines becomes of an increasing concern, a global benchmarking platform becomes necessary. Such a platform is specified in this paper. An illustration is detailed, based on the concept of digital twin.
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Acknowledgements
This paper is carried out in the context of the HUMANISM ANR-17-CE10-0009 research program, funded by the ANR “Agence Nationale de la Recherche”, and by SUCRé project. The work presented in this paper is also partly funded by the Regional Council of the French Region “Haut-de-France” and supported by the GRAISYHM program. The authors gratefully acknowledge these institutions.
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Berdal, Q., Pacaux-Lemoine, MP., Bonte, T., Trentesaux, D., Chauvin, C. (2021). A Benchmarking Platform for Human-Machine Cooperation in Cyber-Physical Manufacturing Systems. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Lamouri, S. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2020. Studies in Computational Intelligence, vol 952. Springer, Cham. https://doi.org/10.1007/978-3-030-69373-2_22
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