Control architecture for digital twin-based human-machine interaction in a novel container unloading system

To facilitate physically exhausting tasks, semi-autonomous systems are introduced at manual industrial workplaces. This changes the role of the operator from a manual worker to a supervisor and intervener in case of problems. New human-machine interaction strategies providing operators with the means to solve problems are required to enable this role change seamlessly. For this purpose, we propose a novel control architecture based on a digital twin, present a newly developed semi-autonomous system for the industrial sector of container unloading, and apply the presented control architecture hereupon. Besides, a morphology for classification of unloading systems is proposed. (C) 2020 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 5th International Conference on System-Integrated Intelligence.