Abstract
Industry has taken a big leap forward by placing a human in the center of interest by turning the working areas into a collaborative environment between operators and robots. In this environment, human behavior is a major uncertainty factor that can affect operator’s safety and execution status. Furthermore, the creation of a digital twin including the whole workstation area, the operators and the procedures that take part in there, is a way to design and integrate collaborative systems using a virtual space. This paper aims to overview the current state of the technological trends in human detection, human task monitoring and digital twin integration. Also, the design of the upcoming solution of a case study from the automotive industry will be represented.
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Acknowledgements
This work has been partially funded by the EC research project “ASSISTANT – Learning and robust decision Support systems for agile manufacturing environments” (Grant Agreement: 101000165) (www.assistant-project.eu).
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Tzavara, E., Angelakis, P., Veloudis, G., Gkournelos, C., Makris, S. (2021). Worker in the Loop: A Framework for Enabling Human-Robot Collaborative Assembly. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-030-85874-2_29
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