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About

Giulia Dominijanni is a pioneering researcher at the frontier of human motor augmentation, investigating how the brain and body adapt to—and control—extra robotic limbs. Her work sits at the intersection of neuroscience, robotics, and human-machine interaction, addressing the fundamental question of how humans can seamlessly integrate artificial body parts into their sensorimotor repertoire. Her most influential contribution is the formulation of the "neural resource allocation problem," a concept she introduced in a 2021 paper that has garnered 91 citations, which frames the cognitive and neural challenges of controlling supernumerary limbs without interfering with natural motor functions. She has since demonstrated that users can learn to operate an extra robotic arm for complex, trimanual tasks, and her research on sensory feedback—showing how the brain develops a representation of an artificial body part—has opened new pathways for prosthetic and augmentation design. Notably, her 2024 study evaluating the usability of a hand augmentation device across a large, diverse sample underscores her commitment to inclusive, real-world application. Dominijanni’s work also extends to rehabilitation, where she has explored gamified, robot-enhanced training for chronic stroke survivors. Her research is shaping the future of wearable robotics and human enhancement.