Jiachang Xu

Anhui University of Science and Technology

Papers

Total Citations

H-Index

About

Jiachang Xu is a researcher specializing in intelligent robotics, path planning optimization, and the application of advanced computational algorithms to coal mine automation. His work sits at the intersection of artificial intelligence and mining engineering, addressing the critical challenge of deploying mobile robots in complex, hazardous underground environments where safety and reliability are paramount. Xu's most notable contributions involve the development of hybrid optimization algorithms that combine classical evolutionary and swarm intelligence techniques with membrane computing frameworks. In his 2018 work, he introduced an Ant Colony Membrane Algorithm tailored for mobile robot path optimization in coal mine settings, earning 3 citations. Building on this foundation, his 2019 study applied Genetic Membrane Algorithms to further enhance path planning accuracy and robustness in unpredictable subterranean conditions, accumulating 2 citations. What distinguishes Xu's research is his recognition that traditional optimization approaches alone are insufficient for the demanding realities of underground mining. By leveraging the efficient parallelism inherent in membrane computing models, he has contributed meaningful solutions toward the broader industry goal of intelligent, unmanned coal mining operations — a vision with significant implications for worker safety and operational efficiency worldwide.