Papers
2
Total Citations
167
H-Index
2
About
Dr. Min Ye is a leading researcher in agricultural robotics, with a focus on intelligent perception and manipulation for fruit harvesting. Her work centers on developing vision-based systems that enable robots to accurately perceive and interact with complex, unstructured agricultural environments. Dr. Ye’s most impactful contribution is her pioneering work on “Vision-based extraction of spatial information in grape clusters for harvesting robots” (2016, 133 citations), which provided a foundational method for robots to locate and approach delicate fruit without damage. She has also advanced the field of robotic fault tolerance, as demonstrated in her paper on a “Fault-Tolerant Design of a Limited Universal Fruit-Picking End-Effector Based on Vision-Positioning Error” (2016, 34 citations), where she engineered end-effectors capable of compensating for large positioning errors—a critical challenge for real-world deployment. By integrating computer vision with robust mechanical design, Dr. Ye’s research directly addresses the reliability and precision needed for automated harvesting, significantly impacting the development of practical agricultural robots.
Research Focus
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