Anxiang Huang
Papers
2
Total Citations
4
H-Index
2
About
Anxiang Huang is an emerging researcher specializing in agricultural robotics and computer vision, with a particular focus on automating fruit harvesting in complex orchard environments. Their work addresses one of modern agriculture's most pressing challenges: the declining availability and rising cost of agricultural labor, which threatens the competitiveness of fruit production worldwide. Huang's research spans two complementary technical domains. In robotic path planning, they developed an improved RRT-Connect algorithm enabling adaptive navigation for robotic arms harvesting winter jujube — a crop traditionally dependent on intensive manual labor. This work tackles the significant challenge of operating in unstructured, dynamic orchard environments. Complementing this, their YOLO-CSB model advances real-time apple detection and localization, specifically engineered to handle occlusion caused by leaves and neighboring fruits in complex field conditions — a persistent obstacle for reliable harvesting automation. Though early in their publishing career, with both key papers accumulating citations since 2025–2026, Huang's contributions sit at a strategically important intersection of machine learning, robotics, and precision agriculture. Their research represents meaningful progress toward scalable, intelligent harvesting systems that could reshape how the agricultural industry responds to global labor shortages and food security demands.
Research Focus
Key Achievements
Top Papers
- 1
- 2