Description
This project proposes to investigate the impact of the use of autonomous social agents to optimise manufacturing process in the framework of Industry 4.0. "Social" means that cyberphysical entities will act autonomously in order to optimize an industrial process following behaviour models inspired by human social networks. Currently, in Industry 4.0, smart entities do exist. However, intelligence is localised and intelligent heterogeneous entities cannot communicate together even inside the same shop-floor. Our motivation comes from the observation that, if we want to create a real Internet of Everything that brings together processes, data, things, and people, all these entities have to be connected and follow a shared, easy to understand paradigm.
In this project, we propose a holistic multi-agent paradigm that encompasses machines and humans. The presence of human operators is therefore crucial both to teach to and to learn from software agents, via deep learning and data mining algorithms. Agents will take decisions merging and analysing big and heterogeneous data produced by sensors (vibration, temperature, etc.), information available in the company information systems (such as enterprise resource planning and manufacturing execution system), and humans in real-time.
Partners
CHIST-ERA is a programme for European Coordinated Research on Long-term Information and Communication Technologies (ICT) and ICT-based scientific challenges.
CHIST-ERA is a coordination and co-operation activity of national and regional research funding organisations mainly in Europe and is supported by the Horizon 2020 Future and Emerging Technologies (FET) programme of the European Union through the ERA-NET Cofund funding scheme.
