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(2021) CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY 1755-5817 33 369-379

Automated stem cell production by bio-inspired control

doi.org/10.1016/j.cirpj.2021.03.013
Széchenyi Plusz RRF
Abstract

The potential in treating chronic and life-threatening diseases by stem cell therapies can greatly be exploited via the efficient automation of stem cell production. Working with living material though poses severe challenges to automation. Recently, production platforms has been developed and tested worldwide with the aim to increase the reproducibility, quality and throughput of the process, to minimize human errors, and to reduce costs of production. A distinctive feature of this domain is the symbiotic co-existence and co-evolution of the technical, information and communication, as well as biological ingredients in production structures. A challenging way to overcome the issues of automated production is the use of biologically inspired control algorithms. In the paper an approach is described which combines digital, agent-based simulation and reinforcement learning for this purpose. The modelling of the cell growth behaviour, which is an important prerequisite of the simulation, is also introduced, together with an appropriate model fitting procedure. The applicability of the proposed approach is demonstrated by the results of a comprehensive investigation.

Authors
László Monostori
Balázs Csanád Csáji
Péter Egri
Krisztián B. Kis
József Váncza
Jelena Ochs
Sven Jung
Niels König
Simon Pieske
Stephan Wein
Robert Schmitt
Christian Brecher
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