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About

Fabio Quaglia is a researcher specializing in ultrasonic sensing and environment perception for robotics and assistive technologies. His primary contributions lie in advancing piezoelectric micromachined ultrasonic transducers (pMUTs) for high-resolution ranging, and in developing portable sensor systems for obstacle detection. In his most-cited work (2021, 23 citations), Quaglia demonstrated a novel technique for operating pMUTs below resonance to achieve wide bandwidth and high-frequency ultrasonic ranging in air, enabling precise distance measurements critical for robotic systems and industrial machinery. This work addresses key limitations in traditional ultrasonic sensors, offering improved accuracy and resolution. Quaglia also contributed to the INSPEX project (2019, 7 citations), which focuses on optimizing range sensors for environment perception in portable systems. This research is particularly impactful for safe navigation of vehicles, robots, and visually impaired individuals in reduced visibility conditions, combining multiple sensing technologies for robust obstacle avoidance. His work bridges fundamental transducer physics with practical applications in autonomous systems and human assistance, demonstrating a clear trajectory from device-level innovation to system-level integration.