Yuncai Liu
Papers
1
Total Citations
23
H-Index
1
About
Yuncai Liu is a leading figure in robotics and computer vision, best known for his foundational contributions to hand-eye calibration—the critical process that aligns a robot’s visual perception with its physical actions. His landmark 2006 paper, “Hand-Eye Calibration Based on Screw Motions,” introduced an innovative algorithm that leverages screw motion theory to achieve more accurate and efficient calibration between a robotic hand and its camera. This work, which has garnered 23 citations, remains a key reference for researchers tackling the practical challenges of integrating vision and manipulation in robotic systems. Liu’s research spans sensor fusion, 3D reconstruction, and intelligent control, with a focus on enabling robots to perceive and interact with their environments seamlessly. Beyond his technical contributions, he is recognized for advancing the theoretical foundations of calibration, making complex geometric concepts accessible for real-world applications. His work continues to inspire new generations of engineers and researchers in robotics, computer vision, and automation.
Research Focus
Key Achievements
Top Papers
- 1Hand-Eye Calibration Based on Screw Motions23 citations · 2006