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Tacit Knowledge Capture Using Digital Tools in a Human-Robot Interaction: A Case Study


 Industry 4.0 is considering a new industrial revolution with important advanced manufacturing paradigms connected. This paper explores the capture of tacit knowledge using digital tools and a robotic mechatronic case study. Digital manufacturing tools have been used to simulate complex human-robot interactions, and it is important to capture said tacit knowledge to create next generation automation systems. This research uses a tacit knowledge lifecycle to capture key mechatronics experiences using a digital twin. The research hypothesis is that capturing mechatronic tacit knowledge through digital twins could support the creation of a new and more complex next generation automation system.