Papers
3
Total Citations
187
H-Index
2
About
Dr. Yaxuan Yan is a leading researcher in agricultural robotics, specializing in simultaneous localization and mapping (SLAM) for autonomous navigation in complex environments. Her major contributions focus on enabling robots to operate in unstructured, dynamic, and GPS-denied settings, such as greenhouses and mixed ground/water surfaces. In her highly cited 2022 work (105 citations), Dr. Yan provided a comprehensive review of SLAM developments in agriculture, establishing a foundational framework for the field. She further advanced the state of the art with a novel multi-sensor fusion approach—integrating visual, IMU, and wheel odometry—that achieved real-time localization and globally consistent mapping in challenging greenhouse conditions (80 citations). This work directly addresses the critical barriers of dynamic obstacles and sensor degradation in agricultural settings. Most recently, Dr. Yan has extended her expertise to LiDAR-based place recognition, developing robust global descriptors for point clouds that enable reliable robot localization across diverse scenes, including water surfaces. Her research has significant implications for precision agriculture, reducing reliance on GPS and improving the autonomy of field robots. With over 187 citations across her top papers, Dr. Yan is recognized as a key innovator in agricultural SLAM, bridging the gap between theoretical algorithms and practical deployment in real-world farming environments.
Research Focus
Key Achievements
Top Papers
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