Xiuyan Peng
Papers
3
Total Citations
24
H-Index
3
About
Xiuyan Peng is a rising researcher in the field of robotic control, specializing in advanced visual servoing and fault-tolerant systems. Her work focuses on enhancing the autonomy and reliability of robot manipulators through innovative control strategies. Peng’s major contributions include developing a model predictive control (MPC) approach tuned by reinforcement learning for constrained image-based visual servoing, a method that optimizes robot performance under real-world limitations. She has also introduced a third-order sliding-mode observer to handle time-varying disturbances, ensuring robust control even with camera constraints. Notably, her research on fault-tolerant visual servo control addresses actuator faults, a critical challenge for industrial and service robotics. With her most-cited paper garnering 14 citations, Peng’s work is gaining traction for its practical impact on precision and safety. Her achievements demonstrate a strong potential to advance autonomous robotic systems, making her a promising voice in control engineering and robotics.
Research Focus
Key Achievements
Top Papers
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