Papers
4
Total Citations
90
H-Index
3
About
Dr. Sanling Fu is a leading researcher in agricultural robotics and intelligent automation, with a primary focus on developing advanced perception and manipulation systems for fruit harvesting. Their work bridges computer vision, soft robotics, and bionic design to address critical challenges in precision agriculture. Dr. Fu’s most impactful contribution is a flexible end-effector with humanoid grasp function for small spherical fruit picking, which achieved rapid, stable, and undamaged harvesting of cherry tomatoes (56 citations). They also pioneered multi-class detection of cherry tomatoes using an improved YOLOv4-Tiny architecture, enabling robots to distinguish occluded fruits and avoid damage during picking (27 citations). Further extending their vision-based work, Dr. Fu developed an enhanced YOLOv4 recognition algorithm for pitaya, integrating coordinate attention and combinational convolution to handle complex spatial relationships between fruit and branches. In parallel, their bionic analysis of Saanen goat spine kinematics under multi-slope conditions provides a novel framework for designing flexible quadruped robot spines, improving stability and agility on uneven terrain. With over 90 total citations, Dr. Fu’s research is driving the next generation of intelligent, damage-free harvesting robots and bio-inspired locomotion systems.
Research Focus
Key Achievements
Top Papers
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- 2Multi-class detection of cherry tomatoes using improved YOLOv4-Tiny27 citations · 2023
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