Fabio Rizzoglio

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About

Fabio Rizzoglio is a leading researcher at the intersection of neural engineering and assistive robotics, whose work focuses on restoring independence to individuals with paralysis. His primary contributions lie in developing **body-machine interfaces (BoMIs)** and **intracortical brain-computer interfaces (iBCIs)** that translate residual physical movements or neural signals into control commands for robotic arms. Rizzoglio’s most impactful work introduces a **non-linear BoMI** that leverages the body’s natural kinematics, moving beyond traditional linear methods to offer more intuitive, adaptive control of assistive manipulators—a breakthrough that has garnered over 14 citations. He has also pioneered **observation-based EMG decoders**, translating neural activity from non-human primates to human iBCI systems, enabling paralyzed patients to control virtual and robotic limbs without direct motor training (8 citations). His research bridges fundamental neuroscience and practical rehabilitation, with notable achievements including the first demonstration of cross-species decoder transfer. With a growing citation record and a focus on real-world usability, Rizzoglio is shaping the future of assistive technology, offering new avenues for motor recovery and daily-life autonomy.