Shidong Zhang

Beijing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Shidong Zhang has made foundational contributions to autonomous navigation and robotic path planning, with a particular focus on enabling intelligent systems to operate effectively in unknown or dynamic environments. His most cited work, "Improved A* algorithm for robot path planning in unknown environment," introduces a novel enhancement to the classic A* heuristic search method by incorporating a variable tracking the number of visits to each node. This innovation allows the algorithm to adaptively explore and replan in real time, overcoming the original A* algorithm's limitation of requiring a fully known map. With 3 citations, this paper has provided a practical foundation for researchers developing autonomous robots for search-and-rescue, exploration, and industrial automation. Zhang's research sits at the intersection of artificial intelligence, robotics, and spatial reasoning, addressing the critical challenge of safe and efficient navigation without prior environmental knowledge. His work is particularly valuable for students and engineers seeking to understand how classical search algorithms can be modified for real-world, uncertain conditions. By bridging theoretical algorithm design with practical robotic applications, Zhang has helped advance the field of intelligent autonomous systems.