Dominic Locurto
Papers
1
Total Citations
7
H-Index
1
About
Dominic Locurto is a rising force in the field of wearable robotics and human locomotion, with a primary focus on how robotic exoskeletons can drive neural adaptation for gait rehabilitation. His most-cited work, "Unilateral stiffness modulation with a robotic hip exoskeleton elicits adaptation during gait" (2022), demonstrates a critical insight: that modulating the stiffness of a hip exoskeleton on just one side can provoke measurable, adaptive changes in walking patterns. This finding bridges the gap between hardware design and neurorehabilitation, showing that exoskeletons are not just assistive tools but active agents in reshaping neural control of movement. With 7 citations already, this paper has quickly become a reference point for researchers exploring how wearable devices can retrain gait after neurological injury. Locurto’s work is particularly notable for its emphasis on unilateral modulation—a subtle but powerful approach that mimics the asymmetric deficits seen in stroke or spinal cord injury. By systematically studying how the nervous system responds to robotic perturbations, he is laying the groundwork for smarter, more adaptive rehabilitation devices. His research sits at the intersection of biomechanics, control theory, and clinical neuroscience, offering a promising path toward personalized, real-world gait therapy.
Research Focus
Key Achievements
Top Papers
- 1