Sung‐Jo Yun

Korea Institute of Robot and Convergence

Papers

Total Citations

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About

Sung-Jo Yun is a researcher dedicated to advancing robotic systems for human rehabilitation, with a primary focus on gait rehabilitation technologies. His work centers on the development of robotic gait rehabilitation devices that operate on treadmills, designed to mimic the functions of physical therapists by applying precise assistive torque to help patients practice and memorize normal gait patterns. Yun’s key contributions include innovative methods for gait pattern generation, which enable more efficient and convenient rehabilitation training compared to manual therapy. His most-cited paper, "Robotic gait rehabilitation system on treadmill" (2014), has garnered 4 citations, while related works on gait pattern generation and robotic intelligent components have received 3 and 2 citations, respectively. Beyond rehabilitation, Yun has explored the commercialization and popularization of robotic intelligent software components, contributing to the broader field of intelligent robotics. Though his citation counts are modest, his research addresses a critical need in assistive technology, aiming to improve quality of life for individuals with mobility impairments. Yun’s work represents a meaningful step toward integrating robotics into clinical practice, offering a foundation for future innovations in automated rehabilitation systems.