Xingmei Wu

Kunming University of Science and Technology

Papers

Total Citations

H-Index

About

Xingmei Wu is a rising force in optimization theory and precision robotics, whose work bridges computational intelligence and mechanical engineering. Her most influential contribution, the "wave search algorithm" (2024), introduces a novel metaheuristic optimization method that has already garnered 25 citations, signaling its rapid adoption for solving complex engineering problems. In parallel, Wu’s 2023 study on error analysis of a new five-degree-of-freedom hybrid robot addresses a critical challenge in automated surface machining. By systematically identifying and categorizing error sources in the robot’s kinematic chain, her research provides a practical framework for enhancing machining accuracy—a contribution with direct implications for high-precision manufacturing. This work, earning 7 citations, demonstrates her ability to translate theoretical analysis into tangible industrial solutions. Wu’s dual focus on algorithmic innovation and robotic precision positions her as a versatile researcher capable of advancing both the computational tools and the mechanical systems that underpin modern automation. Her growing citation record and the practical significance of her error analysis study underscore her emerging impact in the field of intelligent manufacturing.