Chuansheng Du

Papers

Total Citations

201

H-Index

About

Chuansheng Du is a researcher specializing in intelligent optimization algorithms and mobile robot path planning. His major contributions lie in enhancing meta-heuristic algorithms to improve their stability, convergence accuracy, and real-world applicability. Du’s most influential work, “Improved Grey Wolf Optimization Algorithm and Application” (2022), has garnered 195 citations. In this study, he addressed the instability and poor convergence of the standard Grey Wolf Optimizer (GWO) by integrating chaotic tent mapping for population initialization, significantly boosting the algorithm’s performance in mobile robot path planning. His follow-up work, “Path Planning for Mobile Robots Based on Improved A* Algorithm” (2022), further demonstrates his commitment to advancing autonomous navigation. Du’s research is particularly notable for its practical impact—his algorithmic improvements enable more efficient and reliable robot movement in complex environments, a critical need in robotics and automation. By refining both swarm intelligence and classical search algorithms, Du has established himself as a key contributor to the field of intelligent robotics, with his work serving as a foundation for subsequent studies in optimization and path planning.