Suan Xu
Papers
4
Total Citations
38
H-Index
3
About
Dr. Suan Xu is a rising figure in the field of robotics, with a primary focus on the modeling, calibration, and control of robotic systems for both industrial and medical applications. Her research addresses critical challenges in precision and rehabilitation, bridging the gap between theoretical modeling and practical implementation. A key contribution is her work on a two-step calibration method for 6-DOF industrial robots, which groups kinematic parameters based on distance constraints to enhance accuracy—a paper that has already garnered 26 citations since 2024. In the medical domain, Dr. Xu has advanced rehabilitation robotics by developing a predictive control system for ankle rehabilitation robots, leveraging a differential evolution optimization algorithm and a fuzzy NARX model to deliver personalized therapy for patients with stroke or hemiplegia. She has also made notable strides in soft robotics, proposing an improved generalized Prandtl–Ishlinskii model to manage the asymmetric hysteresis of pneumatic artificial muscles, and in health monitoring, creating a novel on-line method to evaluate transmission errors in harmonic drives. With her work cited across these diverse areas, Dr. Xu is establishing herself as a versatile and impactful researcher in modern robotics.
Research Focus
Key Achievements
Top Papers
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