Quanchun Yuan

Jiangsu Academy of Agricultural Sciences

Papers

Total Citations

H-Index

About

Quanchun Yuan is at the forefront of agricultural robotics and autonomous navigation, addressing the critical labor shortages in modern farming through intelligent automation. His research focuses on three key areas: autonomous fruit- and vegetable-picking robots, LiDAR-based navigation for orchard environments, and advancements in LiDAR odometry and mapping (LOAM). Yuan’s major contributions include a comprehensive review of key technologies for picking robots, which has garnered 24 citations and serves as a foundational resource for the field. He also developed an innovative autonomous navigation method for orchard mobile robots using octree 3D point cloud optimization, cited 17 times, which significantly reduces computational burden while maintaining accurate environmental perception. Additionally, his review of innovations in LOAM algorithms, with 5 citations, highlights his expertise in precise localization for complex dynamic environments. Yuan’s work bridges the gap between cutting-edge robotics and practical agricultural applications, offering scalable solutions for smart farming. His research is particularly notable for addressing real-world challenges like computational efficiency and environmental adaptability, making him a key contributor to the next generation of autonomous agricultural systems.