Chengliang Yan

Papers

Total Citations

469

H-Index

About

Chengliang Yan is a researcher whose work sits at the intersection of robotics, artificial intelligence, and autonomous navigation. His most recognized contribution lies in the domain of intelligent path planning for mobile robots, where he has made meaningful advances in algorithmic optimization. In his highly cited 2021 study, Yan introduced an adaptive ant colony algorithm tailored specifically for indoor mobile robot navigation — a technically challenging environment characterized by complex spatial constraints and dynamic obstacles. This work, which has accumulated an impressive 469 citations in a relatively short period, demonstrates the research community's enthusiasm for bio-inspired computational approaches applied to real-world robotics challenges. By adapting the classic ant colony optimization framework to better handle the nuanced demands of indoor environments, Yan's research has helped bridge the gap between theoretical swarm intelligence and practical robotic deployment. His contributions are particularly valuable for applications in warehouse automation, service robotics, and smart building systems, where efficient and reliable navigation is critical. Yan's work continues to influence researchers and engineers seeking robust, nature-inspired solutions to autonomous navigation problems.