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About

Madhav Rao is a multidisciplinary researcher whose work sits at the dynamic intersection of robotics, rehabilitation engineering, and neurosurgical technology. His research spans three principal domains: educational robotics and programming pedagogy, assistive and rehabilitation robotics, and surgical automation systems. Rao's early contributions introduced an open-source graphical robot programming environment to undergraduate curricula, helping novice programmers grasp coding concepts through tangible robotic interaction — work that has garnered 20 citations and continues to influence introductory computer science education. His most impactful contributions, however, lie in stroke rehabilitation engineering, where he has designed multiple cost-effective robotic systems — including 6-DoF differential-drive and holonomic drive platforms targeting upper and lower limb recovery for hemiparesis patients — accumulating citations that underscore growing clinical and academic interest in accessible rehabilitation technology. Equally notable is Rao's sustained focus on neurosurgical robotics, encompassing autonomous neuro-navigation systems, automated cranial drilling devices, and AI-driven microsurgical tool segmentation for intraoperative video analysis. His EMG-augmented wheelchair rehabilitation system and IoT-enabled home therapy solutions further reflect a commitment to patient-centered innovation. With a cumulative citation count approaching 80 across diverse venues, Rao represents an engineer-researcher deeply invested in making advanced medical and educational robotics both practical and accessible.