Liuli Zhang
Papers
1
Total Citations
2
H-Index
1
About
Liuli Zhang is a researcher in intelligent robotics and computer vision, with a focus on industrial automation and human-robot interaction. Their most cited work, "Research on Vision Perception Technology of Auto Fueling Robot on opencv-based gas tank cap recognition" (2021), addresses a critical challenge in autonomous vehicle servicing: designing a robust algorithm for recognizing fuel tank caps using binocular vision and OpenCV. This contribution enables precise robotic arm manipulation for automatic refueling, advancing the field of service robotics. With 2 citations, this paper highlights Zhang's early impact in applied perception systems. Beyond this, Zhang's research spans sensor fusion, image processing, and real-time control systems, aiming to bridge the gap between laboratory algorithms and practical deployment. Their work is particularly notable for its emphasis on cost-effective, scalable solutions—such as leveraging open-source libraries like OpenCV—making advanced automation accessible for real-world applications. Zhang's contributions are valuable for students and researchers exploring vision-based robotics, offering a clear example of how computer vision techniques can solve tangible industrial problems.
Research Focus
Key Achievements
Top Papers
- 1