Fabio Campi

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About

Fabio Campi is a researcher specializing in capacitive sensing technologies and embedded systems, with a particular focus on enhancing safety in industrial human-robot interaction environments. His work addresses one of the most pressing challenges in modern manufacturing: preventing collisions and ensuring worker safety in dynamic, robot-assisted workplaces. Campi's most influential contributions center on the development of advanced capacitive proximity detection systems. His 2018 paper, "Tri-Mode Capacitive Proximity Detection Towards Improved Safety in Industrial Robotics," has garnered 44 citations and introduces a wearable multi-functional sensor designed to maintain safe distances between workers and robotic systems or moving automotive components. Building on earlier groundwork, his 2016 study on multi-functional capacitive proximity sensing — cited 22 times — demonstrates a sophisticated electrode mesh system capable of object distance measurement, motion tracking, and surface profile detection in partially modelled or unknown environments. Together, these publications highlight Campi's dedication to bridging the gap between robotics automation and human safety. His research offers practical, deployable solutions for real-world industrial settings, making him a valuable contributor to the growing field of collaborative robotics and smart sensing technologies.