Baoxing Gu
Papers
12
Total Citations
422
H-Index
6
About
Baoxing Gu is a prominent researcher specializing in agricultural robotics, precision automation, and intelligent sensing systems for horticultural applications. His work sits at the intersection of robotics engineering and agricultural technology, where he has made substantial contributions to solving some of the most pressing challenges in automating fruit and vegetable production. Gu's most influential contribution, a 2018 technical review on optical-based nondestructive quality inspection for robotic grading systems (126 citations), has become a foundational reference for researchers developing computer vision solutions in food technology. His work on robotic grasping mechanics — particularly his comparative study of tomato gripper patterns (73 citations) — addresses the delicate balance between handling efficiency and minimizing produce damage, a critical challenge in harvest automation. Complementing this, his development of slip-detection sensing technology demonstrates a sophisticated understanding of real-world gripper control requirements. More recently, Gu has advanced the field of autonomous agricultural navigation, contributing a well-received review of SLAM technologies in farming contexts (105 citations) and developing orchard-specific positioning and steering detection methods using deep learning frameworks like YOLOv7. Collectively, his research portfolio reflects a coherent vision of fully autonomous agricultural systems, earning over 400 citations and establishing him as a leading voice in smart farming robotics.
Research Focus
Key Achievements
Top Papers
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- 6Design and experiment of intelligent mobile fruit picking robot.17 citations · 2012
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