Yihua Dong
Papers
1
Total Citations
11
H-Index
1
About
Dr. Yihua Dong is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and precision tracking for mobile robots. In his influential 2018 paper, "Improved line of sight robot tracking toward a moving target," Dr. Dong advanced the line-of-sight (LOS) guidance law to enable robust tracking of dynamic targets. To overcome sensor noise, he introduced an optimal information fusion Kalman filter weighted by scalars, fusing data from two sensors to significantly improve trajectory tracking accuracy. This contribution has been cited 11 times, reflecting its value in the field of robotic control and estimation. Dr. Dong’s research addresses critical challenges in real-world robot autonomy, particularly where precise, real-time tracking is essential—such as in surveillance, autonomous vehicles, and human-robot interaction. His work exemplifies the integration of guidance theory with practical sensor fusion, offering a scalable solution for noisy environments. For students and researchers, Dr. Dong’s approach demonstrates how combining classical control methods with modern filtering techniques can yield robust, high-performance robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Improved line of sight robot tracking toward a moving target11 citations · 2018