Papers
2
Total Citations
6
H-Index
2
About
Xuran Zheng is a researcher specializing in the control and vibration suppression of minimally invasive surgical robots. Their work focuses on enhancing the precision and safety of robotic surgery through advanced filtering and control algorithms. Zheng’s most notable contributions include the development of a particle swarm optimization-based unscented Kalman filter for tremor suppression, which effectively reduces unwanted hand tremors during delicate procedures, and a hybrid vibration suppression method combining PID control with input shaping to minimize mechanical oscillations. These innovations address critical challenges in surgical robotics, improving tool stability and patient outcomes. With over 6 citations across their key publications from 2025, Zheng’s research is gaining recognition for its practical impact on medical robotics. Their work represents a significant step toward more reliable and accurate robotic-assisted surgery, positioning them as an emerging contributor in the field of surgical automation and control systems.
Research Focus
Key Achievements
Top Papers
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