Shangjie Lou

Papers

Total Citations

204

H-Index

About

Shangjie Lou is a leading researcher in mobile robot navigation, with a primary focus on advancing path-planning algorithms. His major contributions center on enhancing the A* algorithm, a cornerstone of autonomous navigation, to overcome its traditional limitations in speed, safety, and robustness. Lou’s most influential work, "The EBS-A* algorithm: An improved A* algorithm for path planning" (2022), has garnered 130 citations, demonstrating its significant impact on the field. This algorithm notably improves planning efficiency and obstacle clearance. Building on this, his earlier paper, "An Efficient and Robust Improved A* Algorithm for Path Planning" (2021), with 74 citations, further addresses the need for both efficiency and robustness in dynamic environments. Collectively, Lou’s research has provided practical, high-performance solutions that directly enhance the reliability and speed of autonomous systems, making his work essential reading for students and engineers developing real-world robotic applications. His achievements mark him as a key innovator in intelligent path planning.