Yu-Hao Huang
Papers
1
Total Citations
12
H-Index
1
About
Yu-Hao Huang is a robotics researcher specializing in autonomous navigation and perception for agricultural and field environments. His primary research focuses on LiDAR-based environmental sensing, particularly the detection of negative obstacles—such as ditches and potholes—that pose critical safety risks to unmanned ground vehicles. In his landmark 2024 paper, Huang introduced a novel LiDAR tilt-mounting method that dramatically reduces sensor blind spots from 3 meters to just 0.21 meters, enabling reliable detection of hazards in complex orchard settings. This work, which has already garnered 12 citations, represents a significant advancement in off-road autonomy by addressing a long-standing challenge in agricultural robotics. Huang’s contributions bridge the gap between theoretical perception algorithms and practical deployment, with direct implications for precision agriculture and autonomous field operations. His research is characterized by a hands-on, systems-level approach that prioritizes real-world robustness, making his findings highly relevant for students and engineers working on autonomous ground vehicles in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1