Yuhang Su
Papers
1
Total Citations
2
H-Index
1
About
Yuhang Su is a researcher in robotics and automation, with a primary focus on vision-based control systems and their application in hazardous environments. His key research areas include hand–eye coordination, visual servoing, and convex optimization for high-precision localization. Su’s major contribution lies in developing a novel hand–eye calibration method that integrates convex relaxation optimization to enhance the accuracy and safety of robotic manipulation in high-voltage switching operations. This work addresses the critical challenge of performing remote, automated tasks in environments where arc discharges pose serious injury risks to human operators. His most-cited paper, "A High-Precision Hand–Eye Coordination Localization Method under Convex Relaxation Optimization" (2024), has garnered 2 citations, marking an early but promising impact in the field. By combining visual servo feedback with robot control, Su’s approach enables precise localization without direct human exposure to danger. His research is particularly notable for its practical application in electrical grid maintenance and industrial automation, where safety and precision are paramount. As an emerging scholar, Su’s work lays a strong foundation for future advancements in autonomous robotic systems operating in high-risk settings.
Research Focus
Key Achievements
Top Papers
- 1