Yangzheng Li

Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Yangzheng Li is a researcher focused on intelligent optimization algorithms and their application to mobile robot path planning. His most notable contribution is the development of an improved sparrow search algorithm, which enhances the standard metaheuristic by integrating Tent map-based population initialization and opposition-based learning. This innovation significantly increases population diversity and accelerates convergence, leading to more efficient and reliable path planning for autonomous mobile robots. His 2022 paper on this topic has garnered 2 citations, reflecting growing interest in his work within the robotics and optimization communities. Li’s research addresses critical challenges in autonomous navigation, offering practical solutions for real-time obstacle avoidance and route optimization. By advancing heuristic algorithms, he contributes to the broader fields of artificial intelligence and robotics, where efficient path planning is essential for applications in logistics, exploration, and service robots. His work stands as a valuable resource for students and researchers seeking to understand and improve swarm intelligence methods for complex, real-world navigation tasks.