Guozhi He
Papers
4
Total Citations
130
H-Index
4
About
Guozhi He is a prominent researcher specializing in agricultural robotics, with a particular focus on the design and intelligent control of apple harvesting systems. His work sits at the intersection of mechanical engineering, computer vision, and control theory, addressing one of precision agriculture's most persistent challenges: automating fruit harvesting in complex, unstructured orchard environments. He has made significant contributions to end-effector design, proposing innovative picking patterns for flexible three-fingered grippers that improve stability while minimizing gripping force during apple detachment — work that has already garnered 52 citations since its 2024 publication. His 2022 research on contact force modeling and variable damping impedance control (40 citations) demonstrates his expertise in nuanced robotic manipulation, ensuring gentle yet effective fruit handling. Further advancing harvesting efficiency, He developed apple recognition and picking sequence planning frameworks leveraging EfficientFormer-enhanced YOLOV5 architectures, enabling robots to accurately detect and prioritize fruit in challenging real-world conditions — research cited nearly 40 times across related publications. With over 130 citations across his most influential works, Guozhi He represents a leading voice in intelligent agricultural robotics, driving practical solutions that bring automated harvesting systems closer to real-world deployment.
Research Focus
Key Achievements
Top Papers
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