Papers
2
Total Citations
20
H-Index
2
About
Xueguan Zhao is a pioneering researcher in agricultural robotics, specializing in autonomous navigation and simultaneous localization and mapping (SLAM) for complex greenhouse environments. His work addresses critical challenges in precision agriculture, particularly for low-density crop canopies where traditional SLAM algorithms falter. Zhao’s most impactful contribution is a novel greenhouse mapping method using multiline LiDAR, built on an improved Cartographer framework, which enhances robustness and accuracy in low-density canopy settings—a paper that has garnered 15 citations since 2024. He also developed a fusion positioning navigation system for greenhouse strawberry spraying robots, combining LiDAR SLAM with ultrasonic tags to overcome mapping distortion and improve operational efficiency, earning 5 citations in 2025. Zhao’s innovations directly reduce human workload and boost agricultural productivity, positioning him as a key figure in the integration of robotics and agri-tech. His work is notable for its practical deployment in real-world greenhouses, bridging the gap between theoretical SLAM advances and field-ready autonomous systems.
Research Focus
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Top Papers
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