Meiyan Ye

Papers

Total Citations

H-Index

About

Meiyan Ye is a researcher specializing in robotics and computational kinematics, with a particular focus on parallel and serial robot mechanisms. Her work addresses fundamental challenges in robot design and control, including pose error compensation and inverse kinematic analysis. In her 2011 paper on a novel 6-DOF parallel robot, Ye introduced methods for compensating pose errors, contributing to improved precision in robotic systems—work that has garnered 3 citations. That same year, she advanced the field of kinematic analysis with her development of the decoupled leading terms elimination algorithm, a hybrid method combining strengths of Gröbner bases, Wu elimination, and linear elimination. Applied to the inverse kinematics of a 5R robot, this algorithm enables more efficient solving of nonlinear multivariate polynomial equations and has received 2 citations. Ye’s contributions are notable for bridging theoretical algebraic methods with practical robotics applications, offering tools that help determine solution types and existence in complex kinematic problems. Her research supports the development of more accurate and computationally efficient robotic systems, making her work relevant to engineers and researchers in robotics, automation, and applied mathematics.