Roberto Nerino

Institute of Electronics, Computer and Telecommunication Engineering

Papers

Total Citations

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About

Roberto Nerino is a researcher whose work sits at the intersection of computer vision, robotics, and assistive technologies, with a particular focus on improving quality of life for aging and clinical populations. His key contributions center on developing non-invasive, vision-based interfaces that enable natural human-robot interaction. His most cited work, "Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation" (2016, 48 citations), introduces a calibration-free system that uses visual pose estimation to allow patients to intuitively control robotic rehabilitation devices—a significant step toward accessible, home-based therapy. Nerino also played a leading role in the NINFA project, whose final results (2019, 10 citations) demonstrate how new technologies can be integrated into the daily lives of elderly people, promoting independence and social engagement. By combining robust computer vision algorithms with practical, user-centered design, Nerino’s research directly addresses real-world challenges in telemedicine and gerontechnology, making him a notable contributor to the field of human-centered robotics and ambient assisted living.