Paolo Cicconi
Papers
1
Total Citations
17
H-Index
1
About
Paolo Cicconi’s research lies at the intersection of cyber-physical systems, digital twins, and smart manufacturing, with a particular focus on enabling Industry 4.0 technologies. His major contributions include pioneering the modeling and co-simulation of automated guided vehicles (AGVs) for smart factories, as demonstrated in his highly cited 2018 study on a cyber-physical system for Industry 4.0. In this work, Cicconi developed a virtualized replica of a Laser Guided Vehicle (LGV), integrating its sensors and wireless network to simulate localization using RSSI data—a foundational step toward real-time digital twin applications. With 17 citations, this paper has influenced subsequent research on AGV simulation and industrial IoT integration. Cicconi’s work is notable for bridging the gap between theoretical cyber-physical models and practical factory automation, offering a blueprint for scalable, data-driven production environments. His achievements underscore a commitment to advancing sustainable and efficient manufacturing through digital innovation, making him a key voice in the evolution of smart factories.
Research Focus
Key Achievements
Top Papers
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