Youshui Hua
Papers
1
Total Citations
2
H-Index
1
About
Youshui Hua is a researcher advancing the field of intelligent robotic inspection and defect detection, with a primary focus on applying deep learning to industrial automation. His most cited work, "Detection of Weld Appearance Defects of Ship Hulls with a Crawling Robot and Improved YOLOv5" (2023, 2 citations), addresses a critical safety and efficiency challenge in shipbuilding. Hua designed a crawling robot integrated with an enhanced YOLOv5 algorithm to automate the detection of weld defects on ship hulls—a task traditionally performed manually, often in hazardous environments. This contribution not only reduces reliance on human expertise and improves detection consistency but also demonstrates a practical fusion of robotics and computer vision for real-world industrial applications. While his citation count is still growing, Hua’s work represents an important step toward safer, more reliable quality control in maritime manufacturing. His research sits at the intersection of robotic systems, object detection, and defect analysis, offering a promising foundation for future innovations in automated inspection.
Research Focus
Key Achievements
Top Papers
- 1