Huang-hui Zhang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Huang-hui Zhang is a leading researcher in nuclear safety robotics, specializing in intelligent detection systems for hazardous environments. Their most impactful work centers on developing computer vision and deep learning solutions for nuclear power plant (NPP) maintenance, particularly addressing the critical challenge of radioactive dust management. Dr. Zhang's seminal 2024 paper on "Dust detection and cleanliness assessment based on S-YOLOv5s for NPP reactor containment wall-climbing cleaning robot" introduces an innovative ShuffleNetV2-YOLOv5s architecture that enables wall-climbing cleaning robots to visually identify and assess dust accumulation in real-time—a breakthrough that prevents the formation of hazardous radioactive dust clouds. This work has already garnered 4 citations, demonstrating its immediate relevance to the nuclear industry. By integrating lightweight neural networks with robotic systems, Dr. Zhang's research directly addresses a pressing safety gap: the inability of conventional cleaning robots to perform targeted, thorough decontamination in containment vessels. Their contributions represent a vital step toward automating nuclear facility maintenance while protecting worker health and the environment from radiation exposure risks.
Research Focus
Key Achievements
Top Papers
- 1