Yunxiao Pan
Papers
2
Total Citations
4
H-Index
2
About
Yunxiao Pan is a leading researcher in agricultural robotics, specializing in intelligent perception and adaptive manipulation for complex orchard environments. His work addresses critical challenges in automating the harvesting of high-value crops, where labor shortages and rising costs demand robust robotic solutions. Pan’s major contributions include the development of the YOLO-CSB model, a deep learning framework that achieves real-time, accurate detection and localization of occluded apples in dense foliage, significantly improving harvest success rates. He also pioneered an improved RRT-Connect algorithm for adaptive path planning in robotic winter jujube harvesting, enabling efficient navigation through unstructured, dynamic orchard spaces. With over 2 citations per paper, his research is gaining traction for its practical impact on agricultural automation. Pan’s work bridges computer vision and motion planning, offering scalable solutions that enhance the precision and reliability of robotic harvesters. His achievements are particularly notable for addressing occlusion—a persistent bottleneck in field robotics—and for advancing the feasibility of fully autonomous fruit picking, a milestone for sustainable agriculture.
Research Focus
Key Achievements
Top Papers
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- 2