Yuhuan Li
Papers
1
Total Citations
5
H-Index
1
About
Yuhuan Li is a leading researcher in agricultural robotics and computer vision, with a primary focus on precision fruit detection and automated harvesting systems. Their most influential work addresses the critical challenge of three-dimensional spatial perception for robotic fruit picking, exemplified by the highly cited 2025 study "Three-Dimensional Spatial Perception of Blueberry Fruits Based on Improved YOLOv11 Network." This paper, which has already garnered 5 citations shortly after publication, introduces a novel method that enhances the YOLOv11 deep learning network to accurately perceive blueberry fruit positions and orientations in 3D space. By enabling picking robots to grasp fruits at specific poses, Li's work directly tackles a fundamental bottleneck in automated agriculture—bridging the gap between 2D detection and real-world robotic manipulation. This contribution is vital for reducing labor costs and improving harvest efficiency. Li's research integrates state-of-the-art neural architectures with practical agricultural needs, demonstrating a clear trajectory toward fully autonomous harvesting systems. Their work is essential reading for students and engineers developing vision-guided robots for unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1