Papers
2
Total Citations
50
H-Index
2
About
Wulan Mao is a leading researcher in agricultural robotics, with a primary focus on the mechanized harvesting of kiwifruit. Her work addresses two critical challenges in robotic fruit picking: understanding the physical properties of fruit attachment and improving machine vision for precise localization. In her 2023 study, Mao systematically analyzed the fruit detachment force (FDF) of multiple kiwifruit varieties at different fruit-stem angles (FSA), providing essential data for designing universal robotic end-effectors. She discovered that FDF generally decreases with FSA, with optimal angles varying by variety—findings that directly inform the design of more reliable and less damaging picking mechanisms. Building on this, her 2024 paper introduced an enhanced binocular localization system using YOLOv5x, integrating fruit and calyx detection to significantly improve spatial accuracy in orchard environments. Both papers have garnered 25 citations each, reflecting their immediate impact on the field. Mao’s integrated approach—combining biomechanics with deep learning—positions her as a key contributor to the development of intelligent, variety-adaptive harvesting robots for the fruit industry.
Research Focus
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