Binchi Jacopo, Mangeruca Leonardo, Rucco Matteo, Orlando Ferrante, Minissale Alfio, Abba Fabio Francesco
With the advent of new technologies and the transition of production to industry 4.0, a more flexible approach to manufacturing is pursued to achieve higher productivity. This transformation leads to overcoming traditional safety procedures and the development of new safety-assuring technologies for the minimization of risks connected with human-robot collaboration. In this work, we focus on the prediction of movements of operators’ upper torso and arms by developing a method which combines data-driven methodologies with formal methods. The approach is based on a predictive model of human motion compared against the planned robot trajectory and online monitoring of satisfaction of safety requirements with formal methods.
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