Cui Liu

Northeast Normal University

Papers

1

Total Citations

6

H-Index

1

About

Cui Liu is a researcher in robotics and computer vision, with a focus on fuzzy logic systems and color-based scene understanding. Their most cited work, "Fuzzy color recognition and segmentation of robot vision scene" (2015, 6 citations), introduces a novel method that combines fuzzy color quantization with edge extraction in the HSV color space. This approach enables robots to rapidly and robustly recognize colors in complex environments, reducing the color palette to fewer than ten fuzzy categories while maintaining segmentation accuracy. Liu’s contribution lies in bridging fuzzy set theory with practical robotic vision, offering a computationally efficient solution for real-time scene analysis. Though early in their citation impact, this work demonstrates a clear potential for applications in autonomous navigation and object manipulation. Liu’s research underscores the importance of simplifying perceptual inputs for robotic systems, making vision tasks more tractable without sacrificing essential detail—a valuable step toward more adaptive and intelligent machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy color recognition and segmentation of robot vision scene
6 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Northeast Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago