Papers
1
Total Citations
8
H-Index
1
About
Yuju Mai is a researcher advancing autonomous systems in agricultural robotics, with a primary focus on unmanned aerial vehicle (UAV) navigation in complex orchard environments. Their most cited work, "An autonomous obstacle avoidance and path planning method for fruit-picking UAV in orchard environments" (2025, 8 citations), introduces a novel LiDAR-based approach that enables fruit-picking UAVs to navigate safely and efficiently among trees and obstacles. This contribution addresses a critical challenge in precision agriculture: improving the autonomy and reliability of aerial fruit harvesting systems. Mai’s research integrates real-time sensor data processing with intelligent path planning algorithms, offering a practical solution for enhancing operational safety and efficiency in unstructured orchard settings. By tackling the limitations of traditional picking robotic arms, their work supports the broader adoption of UAVs in sustainable agriculture. With growing interest in automated harvesting technologies, Mai’s foundational study is poised to influence future developments in agricultural robotics and autonomous navigation.
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