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About

Donatella Mattia is a leading researcher at the intersection of neurorehabilitation, assistive robotics, and brain-computer interfaces (BCIs). Her work focuses on restoring mobility and communication for individuals with severe motor disabilities, particularly after stroke or neuromotor impairment. A central contribution is her investigation into how biofeedback content—such as electromyographic versus joint torque signals—influences robotic post-stroke gait rehabilitation, a study that has garnered 64 citations and shaped the design of more effective robot-mediated therapy. She has also been instrumental in developing multimode navigation systems for assistive robotics, enabling safer, autonomous movement for users in daily living environments. Through projects like ASPICE, Mattia has advanced brain-operated assistive devices that allow users to control their environment directly via neural signals. Her work extends to the ethical dimensions of BCI research, addressing critical issues in motor control systems. More recently, she has explored the role of visual feedback and therapist-patient interaction during robot-assisted gait training using eye-tracking and HD-EEG, deepening our understanding of how human factors impact rehabilitation outcomes. With a career spanning foundational assistive technology projects to cutting-edge neurophysiological studies, Mattia’s research continues to bridge engineering, neuroscience, and clinical practice, directly improving the quality of life for people with motor disabilities.