Zhili Pei

Inner Mongolia University for Nationalities

Papers

Total Citations

H-Index

About

Zhili Pei is a researcher whose work lies at the intersection of robotics and computational intelligence, with a particular focus on path planning and optimization algorithms. Pei’s most notable contribution is the development of an improved genetic algorithm for mobile robot path planning, which integrates artificial potential fields to establish a more effective initial population and refines the fitness function to enhance control over path length and smoothness. This work, published in 2013, has garnered 6 citations and represents a meaningful step toward more efficient and adaptable autonomous navigation systems. By addressing key limitations in traditional genetic algorithms—such as slow convergence and suboptimal path quality—Pei’s approach offers practical improvements for real-world robotic applications. While the citation count is modest, the research demonstrates a solid foundation in algorithm design and a clear understanding of the challenges in mobile robotics. Pei’s contributions are particularly relevant for students and researchers exploring evolutionary computation and its application to autonomous systems, offering a thoughtful example of how incremental innovations can advance the field of robot motion planning.