Paolo Felli

University of Nottingham, Free University of Bozen-Bolzano

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About

Paolo Felli is a leading researcher in the intersection of artificial intelligence, multi-agent systems, and manufacturing automation. His work focuses on developing formal methods for planning and control in complex, non-deterministic environments, particularly within Industry 4.0 and cloud manufacturing paradigms. Felli’s major contributions include pioneering process plan controllers that enable manufacturing systems to adapt to uncertainty, ensuring robust production even when resources behave unpredictably. His research on composite capabilities for cloud manufacturing has advanced how multi-agent systems—comprising robots and CNC machines—can dynamically aggregate their individual skills to form collective, higher-level functionalities. This work is foundational for scalable, flexible smart factories. With his most cited paper, "Process Plan Controllers for Non-Deterministic Manufacturing Systems" (2017, 10 citations), Felli has established a framework that bridges theoretical AI planning with practical industrial challenges. His contributions are vital for students and researchers exploring autonomous manufacturing, distributed control, and the formal verification of cyber-physical systems.