Yingxue Du
Papers
1
Total Citations
3
H-Index
1
About
Yingxue Du is a researcher whose work centers on robotics, computer vision, and sensor calibration, with a particular focus on the mathematical foundations of hand-eye calibration. In their most notable contribution, "A Complete Analytical Solution to Hand-Eye Calibration Using Quaternions and Eigenvector-Eigenvalue Identity" (2023), Du introduced a novel, closed-form approach to solving the classic hand-eye calibration problem—a critical step in aligning a robot's end-effector with its camera system. This work leverages quaternion algebra and the eigenvector-eigenvalue identity to provide a complete analytical solution, eliminating the need for iterative numerical methods and improving both accuracy and computational efficiency. While still early in its impact, with 3 citations to date, this paper has already drawn attention for its elegant mathematical rigor and practical applicability in robotic manipulation and autonomous systems. Du’s research bridges theoretical geometry and real-world robotics, offering tools that enhance precision in tasks ranging from surgical robotics to industrial automation. Their work represents a significant step forward in making calibration more robust and accessible for practitioners and researchers alike.
Research Focus
Key Achievements
Top Papers
- 1