Kui Fang

Papers

Total Citations

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About

Kui Fang is a leading researcher in agricultural robotics and precision navigation systems, with a focus on autonomous operations in complex orchard environments. Their most influential work centers on the development of a BDS/IMU integrated auto-navigation system for orchard spraying robots, which has garnered 27 citations since 2022. This system combines real-time kinematic positioning from the BeiDou satellite navigation system (RTK-BDS) with an inertial measurement unit (IMU), a navigation controller, and servo motors to significantly enhance the accuracy and reliability of autonomous spraying in orchards. By addressing the challenges of GPS-denied or signal-degraded agricultural settings, Fang’s contributions have advanced the practical deployment of smart farming technologies, reducing human labor and improving pesticide application efficiency. Their work exemplifies the integration of satellite navigation, sensor fusion, and robotics, making notable strides toward fully autonomous agricultural machinery. Fang’s research is highly relevant for students and engineers working on field robotics, precision agriculture, and navigation control systems, offering a robust framework for real-world autonomous navigation in unstructured environments.