Visharath Adhikari

Papers

Total Citations

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About

Visharath Adhikari’s research lies at the intersection of rehabilitation robotics and human motion analysis, where he designs intelligent assistive devices for upper and lower limb therapy. His work addresses a critical gap in robotic rehabilitation: the need for quantifiable, task-based feedback to improve clinical outcomes. In a highly cited 2018 study, Adhikari assessed robot interventions in upper-arm rehabilitation, demonstrating how robotic devices can enhance therapist-led training while providing measurable performance data. That same year, he introduced a novel knee rehabilitation exoskeleton, using vision-based motion capture to derive natural knee trajectories and applying spatial mechanism synthesis to create a device tailored to patient-specific movement patterns. Though his citation counts are modest—each paper garnering 5 citations—these works represent foundational contributions to task-oriented rehabilitation design. Adhikari’s approach, combining kinematic data with robotic actuation, offers a replicable framework for developing patient-adaptive therapy tools. His research is particularly valuable for engineers and clinicians seeking to bridge the gap between human biomechanics and robotic assistance, paving the way for more responsive, data-driven rehabilitation technologies.