Xiaomei Ning

Papers

Total Citations

H-Index

About

Xiaomei Ning’s research centers on computational intelligence for robotics, with a particular focus on path planning for mobile robots. Her major contribution lies in pioneering the integration of cloud models—a tool for uncertainty modeling that bridges qualitative concepts and quantitative data—into evolutionary algorithms. This novel approach enhances both the accuracy and convergence of robot navigation systems, addressing long-standing challenges in the field. Her most cited work, “Integrating cloud model in evolutionary algorithm for path planning of mobile robots” (2010), has garnered 4 citations, while her earlier foundational paper, “A novel path planning algorithm for mobile robots based on cloud model” (2009), has 3 citations. Though her citation counts are modest, Ning’s work represents a creative synthesis of uncertainty theory and evolutionary computation, offering a fresh perspective on autonomous navigation. Her research is particularly valuable for students and engineers seeking to improve robot adaptability in complex environments. By demonstrating how cloud models can refine algorithmic performance, Ning has laid groundwork for more robust and intelligent mobile robot systems.