Nowadays, the commercial translation of additive manufacturing technologies for scaffolds fabrication is still a challenge. The production methodology of 3D scaffolds for tissue regeneration is a complex and discontinuous process involving several stages, from the isolation of the stem cells to the dynamic cell culture in vitro. Even though in this scenario industries are increasingly implementing automated robotic systems, current technologies are not enough to realize a large industrial scale scaffold fabrication. Accordingly, a relevant improvement could raise from the implementation of a modern collaborative workplace in an existing production line, combining strength endurance and accuracy of cobots, with intelligence, flexibility, and adaptability of the human being. Such a solution overcomes limits related to the low level of process control, low productivity, and risk of contaminations. Therefore, the current work proposes a systematic approach to the design of a collaborative workplace for biomanufacturing of 3D scaffolds. Starting from an overview of basic concepts on scaffolds for tissue engineering and additive manufacturing, as well as from an analysis of automation solutions in cell culture applications, a design methodology section is reported. The paper provides a further insight into the potentials to upscale the scaffolds manufacturing process, taking advantage of the huge possibilities given from the Human-Robot Collaboration and gives evidence of critical features for workplace definition.

Towards the Upscaling of Biomanufacturing Process Enhanced by Human-Robot Collaboration / Rega, A.; Di Marino, C.; Vitolo, F.; Patalano, S.; Lanzotti, A.. - (2022), pp. 615-622. (Intervento presentato al convegno 2nd International Conference on Design Tools and Methods in Industrial Engineering, ADM 2021 tenutosi a ita nel 2021) [10.1007/978-3-030-91234-5_61].

Towards the Upscaling of Biomanufacturing Process Enhanced by Human-Robot Collaboration

Rega A.;Di Marino C.;Vitolo F.;Patalano S.;Lanzotti A.
2022

Abstract

Nowadays, the commercial translation of additive manufacturing technologies for scaffolds fabrication is still a challenge. The production methodology of 3D scaffolds for tissue regeneration is a complex and discontinuous process involving several stages, from the isolation of the stem cells to the dynamic cell culture in vitro. Even though in this scenario industries are increasingly implementing automated robotic systems, current technologies are not enough to realize a large industrial scale scaffold fabrication. Accordingly, a relevant improvement could raise from the implementation of a modern collaborative workplace in an existing production line, combining strength endurance and accuracy of cobots, with intelligence, flexibility, and adaptability of the human being. Such a solution overcomes limits related to the low level of process control, low productivity, and risk of contaminations. Therefore, the current work proposes a systematic approach to the design of a collaborative workplace for biomanufacturing of 3D scaffolds. Starting from an overview of basic concepts on scaffolds for tissue engineering and additive manufacturing, as well as from an analysis of automation solutions in cell culture applications, a design methodology section is reported. The paper provides a further insight into the potentials to upscale the scaffolds manufacturing process, taking advantage of the huge possibilities given from the Human-Robot Collaboration and gives evidence of critical features for workplace definition.
2022
978-3-030-91233-8
978-3-030-91234-5
Towards the Upscaling of Biomanufacturing Process Enhanced by Human-Robot Collaboration / Rega, A.; Di Marino, C.; Vitolo, F.; Patalano, S.; Lanzotti, A.. - (2022), pp. 615-622. (Intervento presentato al convegno 2nd International Conference on Design Tools and Methods in Industrial Engineering, ADM 2021 tenutosi a ita nel 2021) [10.1007/978-3-030-91234-5_61].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/865964
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