Papers
5
Total Citations
115
H-Index
4
About
Mengfei Ru is a pioneering researcher at the intersection of agricultural robotics and intelligent perception, whose work is reshaping how robots interact with delicate crops. Her core research areas span robotic grasping, multimodal sensor fusion, and autonomous navigation in unstructured agricultural environments. Ru’s most impactful contribution is the development of a peduncle collision-free grasping system for tomato harvesting robots, leveraging deep reinforcement learning to achieve precise, non-destructive picking—a paper that has garnered 50 citations since 2023. She also introduced YOLACTFusion, an innovative RGB-NIR multimodal image fusion method enhanced by attention mechanisms, which has earned 47 citations for its breakthrough in instance segmentation under challenging lighting conditions. Her work on fruit trajectory planning, inspired by manual skill imitation for grape harvesting, and the design of a shiitake mushroom picking grasper that accounts for stipe compressive stress relaxation, demonstrates her commitment to minimizing crop damage. Additionally, Ru has advanced autonomous localization in orchards with a tightly-coupled GNSS/LiDAR/IMU fusion odometry system, addressing signal loss in unstructured settings. With over 115 citations across her key publications, Mengfei Ru is a rising star in precision agriculture, bridging robotics and AI to create safer, more efficient harvesting solutions.
Research Focus
Key Achievements
Top Papers
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