Guomin Gao
Papers
7
Total Citations
56
H-Index
6
About
Guomin Gao is a pioneering researcher specializing in agricultural robotics, autonomous navigation, and intelligent harvesting systems, with a particular focus on safflower — a labor-intensive crop demanding innovative mechanization solutions. His work addresses critical challenges in modern precision agriculture, developing sophisticated robotic platforms capable of replacing or augmenting manual harvesting labor at scale. Gao's most significant contributions center on the design and optimization of safflower picking robots. His parallel manipulator-based harvesting robot (2022, 11 citations) established a foundational framework for automated filament collection, while his trajectory planning research employing an ant colony genetic fusion algorithm with Bézier curves (2024, 12 citations) substantially improved picking efficiency and arm movement precision. Complementing these mechanical innovations, he has engineered robust autonomous navigation systems integrating binocular cameras, differential GPS, and inertial sensors for reliable headland-turning and field traversal, including deep learning approaches leveraging improved DeepLabv3+ and RT-DETR transformer architectures for real-time crop row detection. His multisensor fusion positioning framework and dynamic levelling system further demonstrate his holistic systems-engineering approach. Accumulating over 56 citations across recent publications, Gao's research represents a comprehensive and rapidly growing body of work that is meaningfully advancing the global push toward fully autonomous, intelligent agricultural harvesting machinery.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7