Qidong Han
Papers
2
Total Citations
61
H-Index
2
About
Qidong Han is a leading researcher in autonomous mobile robotics, specializing in path planning and navigation for complex environments. His work focuses on enhancing the safety and efficiency of robot movement by fusing global and local planning algorithms. Han’s most notable contribution is the innovative improvement and fusion of the A* algorithm with the Dynamic Window Approach (DWA), detailed in his highly cited 2021 paper (48 citations). This work addresses the critical challenge of balancing global route optimization with real-time local obstacle avoidance, significantly outperforming traditional methods in cluttered settings. He further advanced the field by applying a similar fusion technique to the D* Lite algorithm in 2024 (13 citations), enabling robust path replanning in dynamic, unknown environments. Han’s research is instrumental in developing more intelligent and adaptable autonomous systems, directly impacting applications from warehouse logistics to search-and-rescue robotics. His work is essential reading for students and engineers seeking to understand state-of-the-art navigation in real-world, unpredictable conditions.
Research Focus
Key Achievements
Top Papers
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