Yuexiang Shi

Papers

Total Citations

H-Index

About

Yuexiang Shi is a researcher whose work bridges evolutionary computation and robotics, with a particular focus on concurrent mapping and localization (CML) — a critical challenge in autonomous navigation. In their most-cited paper, "A Hybrid Immune Evolutionary Computation Based on Immunity and Clonal Selection for Concurrent Mapping and Localization" (2005), Shi introduced a novel algorithm that draws inspiration from biological immune systems and clonal selection principles to solve the simultaneous localization and mapping (SLAM) problem. This hybrid approach demonstrates how computational immunity can enhance the efficiency and robustness of evolutionary strategies in complex, uncertain environments. Although the paper has garnered 5 citations, its conceptual contribution lies in pioneering the integration of immune-inspired mechanisms with evolutionary computation for robotics, offering a fresh perspective on adaptive problem-solving. Shi’s work is notable for its interdisciplinary nature, merging artificial immune systems, evolutionary algorithms, and mobile robotics. This research has implications for autonomous systems that must navigate and map unknown spaces in real time, making it a valuable reference for students and researchers exploring bio-inspired approaches to robotics and intelligent control.