Yunxiang Ye
Papers
1
Total Citations
12
H-Index
1
About
Dr. Yunxiang Ye is a robotics researcher specializing in autonomous navigation and perception for agricultural and off-road environments. His work focuses on overcoming critical challenges in field robotics, particularly the detection of negative obstacles—hazards like ditches and potholes that are notoriously difficult for autonomous systems to identify. In his most cited paper, "LiDAR-Based Negative Obstacle Detection for Unmanned Ground Vehicles in Orchards" (2024, 12 citations), Ye proposed an innovative method using a LiDAR sensor mounted at a 40° tilt. This simple yet effective configuration dramatically reduced the sensor’s blind spot from 3 meters to just 0.21 meters, significantly improving safety for unmanned ground vehicles operating in orchard settings. By addressing a long-standing gap in perception for agricultural robotics, Ye’s work has practical implications for autonomous farming, where reliable obstacle detection is essential for preventing equipment damage and ensuring operational continuity. His research bridges the gap between theoretical sensor optimization and real-world deployment, making him a notable contributor to the field of field robotics and autonomous vehicle safety.
Research Focus
Key Achievements
Top Papers
- 1