Yuxiang Huang
Papers
4
Total Citations
82
H-Index
3
About
Yuxiang Huang is a pioneering researcher in agricultural robotics and autonomous systems, with a specialized focus on intelligent harvesting technologies for jujube orchards. His work centers on integrating computer vision, deep learning, and robotic perception to solve the complex challenges of fruit vibration harvesting. Huang’s major contributions include the development of AGHRNet, an attention-based ghost-HRNet architecture that precisely confirms catch-and-shake locations during jujube harvesting, achieving 47 citations and setting a new standard for visual detection in agricultural robotics. He also advanced autonomous navigation for harvesting robots by applying convolutional neural networks to orchard environments, a method that has garnered 25 citations for its practical impact. More recently, Huang introduced a novel salient object detection method for jujube tree trunks and branches, enhancing robotic visual perception with 8 citations. His work extends to 3D multiple object tracking for autonomous driving, demonstrating versatility in perception systems. With a cumulative citation count exceeding 80, Huang’s research is instrumental in bridging the gap between computer vision and precision agriculture, offering scalable solutions for automated fruit harvesting that reduce labor dependency and improve efficiency.
Research Focus
Key Achievements
Top Papers
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