Fanlei Yan

Papers

Total Citations

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About

Fanlei Yan is a leading researcher in robotics and autonomous systems, with a primary focus on visual servoing and mobile robot control. His most influential work, "Hybrid Visual Servo Trajectory Tracking of Wheeled Mobile Robots" (2018, 26 citations), introduces an innovative 2.5-D visual servoing framework that significantly improves trajectory tracking for wheeled mobile robots equipped with onboard cameras. This hybrid approach uniquely combines 2D and 3D visual information to enhance tracking accuracy while ensuring visual targets remain within the camera's field of view—a critical challenge in real-world autonomous navigation. Yan's contributions address fundamental limitations in traditional visual servoing methods, offering robust solutions for dynamic environments where maintaining visual contact is essential. His work has been instrumental in advancing the practical deployment of vision-guided mobile robots in applications ranging from warehouse automation to autonomous inspection. With growing citation impact, Yan continues to shape the field of robotic perception and control, bridging the gap between theoretical visual servoing frameworks and reliable real-world implementation.