Jinqi Huang

Papers

Total Citations

H-Index

About

Jinqi Huang is a leading researcher in agricultural robotics and precision navigation systems, with a focus on autonomous orchard operations. Their most influential work centers on developing robust, high-accuracy navigation solutions for agricultural robots, particularly in challenging environments like orchards where GPS signals can be unreliable. Huang’s landmark 2022 paper, “BDS/IMU Integrated Auto-Navigation System of Orchard Spraying Robot,” has garnered 27 citations and introduces a pioneering fusion of Real-Time Kinematic BeiDou Satellite Navigation (RTK-BDS) with an Inertial Measurement Unit (IMU). This system dramatically improves the positioning accuracy and reliability of spraying robots, enabling them to navigate narrow, uneven orchard rows with centimeter-level precision. By integrating servo motors and a navigation controller, Huang’s work addresses critical limitations in autonomous farming, enhancing both operational efficiency and crop safety. This contribution is vital for the future of precision agriculture, reducing human labor and chemical waste. Huang’s research continues to push the boundaries of field robotics, making them a key figure in the transition toward fully autonomous, data-driven farming systems.