Changwei Xiong
Papers
4
Total Citations
32
H-Index
2
About
Changwei Xiong is a researcher at the forefront of intelligent manufacturing and agricultural robotics, specializing in embedded machine vision, stereo vision, and deep learning for robotic control. His most impactful work addresses critical quality control challenges in lithium battery production, where he developed a detection algorithm for surface defects using embedded machine vision (21 citations). This system replaces error-prone manual inspection with automated, high-precision visual analysis, significantly improving production efficiency. Xiong has also advanced agricultural automation through his research on a lychee picking robot’s vision system, leveraging stereo vision for accurate fruit detection and environmental correction (7 citations). In industrial robotics, he has explored visual image gray moment techniques for weld robot trajectory control and deep learning-based 3D recognition for robotic arm grasping, integrating GPU-accelerated algorithms for real-time depth processing and object manipulation. His work consistently bridges the gap between theoretical computer vision and practical robotic applications, with a focus on enhancing automation in both manufacturing and agriculture. Xiong’s contributions are shaping the next generation of intelligent, vision-guided robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4