Xukai Gao
Papers
1
Total Citations
6
H-Index
1
About
Xukai Gao is a robotics researcher whose work centers on autonomous navigation, computer vision, and embedded control systems. His most cited contribution, "Design and Implementation of a Vision Based Four-Wheeled Line Track Robot" (2010, 6 citations), presents a pioneering approach to path-tracking robotics. In this work, Gao introduced a predictive position find and lens distortion correction (PFDC) algorithm that enables a four-wheeled robot to stably traverse arbitrary raceways at maximum speed using a CCD camera for real-time guide line detection. This research addresses critical challenges in image processing and control system integration for autonomous ground vehicles. While Gao's citation impact is still developing, his work represents foundational advances in vision-based robotic navigation, demonstrating how real-time image correction and predictive positioning can enhance robot stability and speed. His contributions are particularly relevant for students and researchers interested in embedded vision systems, autonomous navigation algorithms, and the practical implementation of robotic control systems.
Research Focus
Key Achievements
Top Papers
- 1