The manufacturing assembly lines of the future are foreseen to dismiss fully unmanned systems in favour of anthropocentric solutions. However, bringing in the human complexity leads to modeling and control questions that only data can answer. Moreover, many human-robot collaborative applications in flexible manufacturing involve manipulator cobots, whereas little attention is given to the role of mobile robots. This work outlines a data-driven framework, which is the core of a brand new project to be fully developed in the very next future, to let human-robot collaborative processes overcome the barriers to successful interaction, leveraging mobile and fixed-base robots.
Data-driven framework to improve collaborative human-robot flexible manufacturing applications / Sibona, Fiorella; Indri, Marina. - ELETTRONICO. - (2021). (Intervento presentato al convegno IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society tenutosi a Toronto, ON, Canada nel 13-16 Oct. 2021) [10.1109/IECON48115.2021.9589874].
Data-driven framework to improve collaborative human-robot flexible manufacturing applications
Sibona, Fiorella;Indri, Marina
2021
Abstract
The manufacturing assembly lines of the future are foreseen to dismiss fully unmanned systems in favour of anthropocentric solutions. However, bringing in the human complexity leads to modeling and control questions that only data can answer. Moreover, many human-robot collaborative applications in flexible manufacturing involve manipulator cobots, whereas little attention is given to the role of mobile robots. This work outlines a data-driven framework, which is the core of a brand new project to be fully developed in the very next future, to let human-robot collaborative processes overcome the barriers to successful interaction, leveraging mobile and fixed-base robots.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2939000