Minxin Yuan
Papers
2
Total Citations
17
H-Index
2
About
Minxin Yuan is a pioneering researcher in agricultural robotics, specializing in autonomous navigation and cooperative control systems for precision farming. Her work focuses on solving critical operational challenges in orchard environments, particularly for spraying and dosing tasks. In her highly cited 2022 study on a map-based cooperative navigation system for spraying–dosing robot groups, Yuan addressed the practical problem of robots running out of medicine mid-task by developing a collaborative multi-robot system that leverages 3D orchard maps for coordinated navigation. This work, with 10 citations, demonstrates her ability to bridge theoretical robotics with real-world agricultural needs. Additionally, her 2022 paper on a Double-DQN-based path-tracking control algorithm for orchard traction spraying robots (7 citations) introduced a novel deep reinforcement learning approach to improve the accuracy and stability of tractor-trailer systems in uneven orchard terrain. Yuan’s contributions are notable for integrating advanced AI techniques—such as deep Q-networks—with practical agricultural automation, offering scalable solutions for sustainable farming. Her research not only advances the field of agricultural robotics but also provides tangible pathways for reducing labor and chemical waste in modern orchards.
Research Focus
Key Achievements
Top Papers
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