Yuan Fu

Papers

Total Citations

H-Index

About

Yuan Fu is a robotics researcher specializing in rehabilitation engineering and human-robot interaction, with a particular focus on assistive technologies for elderly mobility. His key research areas include gait-balance training systems, parallel platform robotics, and optimal trajectory planning for rehabilitation applications. Fu’s most notable contribution is the development of the G-Balance robot, a novel six degree-of-freedom parallel platform designed to address gait and balance disorders in aging populations. His 2022 paper on optimal-jerk trajectory planning for this system has garnered 6 citations, demonstrating early impact in the niche field of rehabilitation robotics. The work uniquely integrates inertial measurement unit (IMU) wearable sensors with parallel kinematics to create adaptive training protocols, representing a significant step toward personalized robotic therapy for seniors. Fu’s research bridges mechanical design with clinical rehabilitation needs, offering practical solutions for age-related mobility decline. His approach to smooth, jerk-minimized motion planning enhances both safety and therapeutic efficacy in human-robot interaction scenarios. As an emerging researcher, Fu’s contributions are particularly relevant to the growing demand for non-invasive, robotic-assisted interventions in geriatric care, positioning him as a promising voice in assistive robotics and biomechatronics.