Xiaohao Yan
Papers
1
Total Citations
27
H-Index
1
About
Xiaohao Yan is a leading researcher in agricultural robotics, with a primary focus on intelligent harvesting systems and motion planning for fruit-picking automation. His most cited work, "Rapid citrus harvesting motion planning with pre-harvesting point and quad-tree" (2022), has garnered 27 citations, establishing a foundational approach to efficient robotic fruit collection. Yan's key contribution lies in developing a novel motion planning framework that integrates pre-harvesting point identification with quad-tree spatial decomposition, significantly reducing computational overhead and enabling real-time harvesting decisions in complex orchard environments. This work addresses critical challenges in agricultural robotics—namely, the need for rapid, collision-free path generation among dense foliage and irregular fruit placements. By optimizing the trade-off between exploration speed and path quality, Yan's methodology has influenced subsequent research in autonomous fruit picking, particularly for high-value crops like citrus. His research bridges the gap between theoretical motion planning algorithms and practical agricultural applications, offering scalable solutions for labor-intensive harvesting tasks. Yan's work continues to shape the development of more efficient, adaptive robotic systems for precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1