Yang Yan-xi
Papers
1
Total Citations
2
H-Index
1
About
Yang Yan-xi is a researcher whose work centers on intelligent robotic control and advanced automation systems. A key contribution lies in the development of uncalibrated robotic hand-eye coordination, a critical challenge in flexible manufacturing and autonomous manipulation. In their notable 2006 paper, Yan-xi proposed a novel method that integrates an Adaptive Genetic Algorithm (AGA) to optimize the parameters of an Auto Disturbance Rejection Controller (ADRC). This approach effectively addressed the long-standing difficulty of tuning the ADRC’s numerous parameters, enabling more robust and adaptive coordination between a robot’s vision and motion systems without the need for precise calibration. While the specific paper has garnered 2 citations, its conceptual framework contributes to the broader fields of adaptive control and evolutionary optimization in robotics. Yan-xi’s work demonstrates a practical synthesis of bio-inspired algorithms and control theory, offering a pathway toward more resilient and self-tuning robotic systems. This research is particularly relevant for students and engineers exploring intelligent control strategies for real-world automation challenges.
Research Focus
Key Achievements
Top Papers
- 1