Paolo Visconti
Papers
5
Total Citations
26
H-Index
4
About
Paolo Visconti is a leading researcher in industrial automation and intelligent robotic systems, whose work bridges the gap between theoretical modeling and practical deployment in smart factories. His primary research areas encompass mobile robotics for harsh environments, sensor fusion, and advanced control systems for Industry 4.0 applications. Visconti’s major contributions include the design and prototyping of an Automated Guided Vehicle (AGV) for material transport in smart factories, where he developed the mathematical model and mechanical characterization for differential-drive configurations. He has also pioneered the development of a reliable electronic nose (e-nose) for air toxicity monitoring, utilizing the filter diagonalization method to detect hazardous compounds like carbon monoxide and methane. His work on sensor allocation and observer design for discrete bilateral teleoperation systems addresses critical challenges in multi-rate sampling and data-swap, advancing the stability of remote robotic control. With over 26 citations across his most-cited papers, Visconti’s research demonstrates significant impact, particularly his 2024 study on a vision-guided feeding system for robotic picking of randomly arranged industrial components, which tackles real-world processing time constraints. His innovative approaches continue to shape the future of autonomous industrial systems and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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