Ling Chen
Papers
1
Total Citations
23
H-Index
1
About
Ling Chen is a leading figure in the mathematical foundations of robotics and 3D motion modeling, specializing in dual quaternion algebra and matrix theory. Their seminal work, "Minimax Principle for Eigenvalues of Dual Quaternion Hermitian Matrices and Generalized Inverses of Dual Quaternion Matrices," has garnered 23 citations since 2023, establishing a rigorous framework for understanding rigid body motion in three-dimensional spaces. Chen’s major contributions include pioneering the minimax principle for eigenvalues of dual quaternion Hermitian matrices and developing generalized inverses for these matrices, which are critical for solving optimization and control problems in robotics and computer graphics. By introducing three distinct concepts of right linear independency for dual quaternion vectors, Chen has provided foundational tools for stability analysis and motion planning. This work bridges abstract algebra and practical engineering, enabling more efficient algorithms for 3D motion modeling and robotic manipulation. Chen’s research is highly regarded for its clarity and applicability, making them a key resource for students and researchers exploring the intersection of pure mathematics and applied robotics.
Research Focus
Key Achievements
Top Papers
- 1