Bruno Borghi

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About

Bruno Borghi is a rising researcher in the fields of neuro-robotics and human motor adaptation, with a focus on personalized rehabilitation technologies. His most-cited work, "Personalized Robotic Training on a Planar Reaching Task" (2025), introduces a novel iterative algorithm for generating customized training forces, drawing on recent advances in neuro-adaptive control. This study systematically evaluates how individuals adapt to robot-generated perturbations during upper-limb reaching tasks, offering critical insights into motor learning and the design of adaptive, patient-specific robotic therapies. Though early in his career—with his top paper currently holding 4 citations—Borghi’s contributions are already shaping conversations around tailored rehabilitation, bridging the gap between control theory and clinical application. His work stands out for its rigorous experimental design and its potential to improve recovery outcomes for individuals with motor impairments. As the field moves toward more responsive and individualized training paradigms, Borghi’s research promises to be a foundational building block for next-generation assistive robotics.