Xiaodong Wei
Papers
2
Total Citations
9
H-Index
2
About
Xiaodong Wei is a robotics researcher whose work focuses on the intersection of rehabilitation engineering and motion planning for robotic systems. His key research areas include assistive robotics for gait and balance training, trajectory optimization, and sampling-based motion planning algorithms for manipulators. Wei’s major 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 the elderly. By applying optimal-jerk trajectory planning and integrating IMU wearable sensors, his work directly targets age-related mobility decline—a critical societal challenge. His most cited paper (2022, 6 citations) introduces this system, demonstrating a practical application of parallel robotics in rehabilitation. Additionally, Wei advanced motion planning with the PR-RRT* algorithm (2020, 3 citations), an improved variant of the RRT* that enhances path efficiency for 6-DOF robotic arms like the Schunk LWA3. By combining forward kinematics with optimized sampling, his algorithm reduces computational overhead while maintaining solution quality. Though early in his career, Wei’s work bridges theoretical robotics and tangible healthcare solutions, offering promising pathways for assistive technology and autonomous manipulation.
Research Focus
Key Achievements
Top Papers
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