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About

Nicola Carbonaro is a leading researcher at the intersection of wearable sensing, human-robot interaction, and biomedical engineering. His work centers on developing intelligent textile-based systems that bridge the gap between human physiology and machine understanding. Carbonaro’s most significant contribution is the creation of a multi-modal sensing glove, which integrates knitted piezoresistive fabrics for hand posture reconstruction with tactile pressure sensing—a pioneering device that has garnered 48 citations for its novel approach to studying human manual interaction. He has extended this technology into the surgical domain, where his smart glove system for hand-assisted laparoscopic surgery (25 citations) enables surgeons to intuitively control collaborative robots through dynamic gesture recognition, directly improving precision in the operating room. Carbonaro also explores affective computing, developing a multimodal perception framework that combines physiological and audio-visual signals to assess users’ emotional states in social robotics (11 citations). His work on an innovative multisensor-controlled prosthetic hand (19 citations) further demonstrates his commitment to translating wearable sensing into tangible assistive technologies. With a portfolio that spans from surgical robotics to social AI, Carbonaro is shaping how wearable sensors can make human-machine collaboration more seamless, intuitive, and responsive.