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About

Alessandro Del Vecchio is a leading researcher at the intersection of neural engineering, human movement science, and human-robot interaction. His work focuses on decoding the neural drive to muscles—the electrical commands from the brain and spinal cord that control movement—and translating those signals into practical assistive technologies. A standout contribution is his 2021 study that used a high-density sleeve array to sense and decode the neural drive to paralyzed muscles during attempted movements in a person with tetraplegia. This work, which has garnered early citations, demonstrates a non-invasive path to controlling robotic prosthetics and exoskeletons directly from neural intent. Del Vecchio also explores peripheral neuroergonomics, aiming to make human-robot collaboration more intuitive and human-centered by reading subtle physiological signals. Additionally, his 2024 investigation into low-frequency motor cortex EEG (MRCP) shows how brain activity can predict the rate of force development, opening new possibilities for real-time control of assistive devices. As an editor of a special issue on neuromechanical biomarkers in robot-assisted rehabilitation, he is shaping the field’s future. Del Vecchio’s research is paving the way for seamless, brain-controlled interfaces that restore movement and independence.