Xinghui Zhu

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About

Xinghui Zhu is a leading researcher in agricultural robotics and precision automation, with a focus on integrating advanced sensing and navigation systems for fruit-harvesting and orchard-management robots. Their major contributions span three critical areas: autonomous navigation, fruit quality estimation, and non-destructive ripeness detection. Zhu’s most influential work, “BDS/IMU Integrated Auto-Navigation System of Orchard Spraying Robot” (2022, 27 citations), pioneered a high-accuracy navigation system combining RTK-Beidou satellite positioning with inertial measurement units, enabling reliable autonomous operation in challenging orchard environments. More recently, Zhu has advanced robotic grading with a multimodal fusion network that estimates strawberry weight from point cloud data (2025), and developed a multispectral alignment method using an improved residual network for predicting grape sugar content (2025)—both enabling non-contact, non-destructive quality assessment critical for sorting platforms. These innovations directly address labor shortages and fruit damage in agriculture. With growing citation impact, Zhu’s work is shaping the next generation of intelligent picking robots and precision viticulture systems.