Papers
1
Total Citations
8
H-Index
1
About
Chunyu Han is a researcher in mobile robotics and autonomous navigation, with a focus on path planning and dynamic obstacle avoidance. Their work addresses critical limitations in traditional algorithms used for robot motion in complex environments. Han’s most cited paper, “Robot Path Planning Research Incorporating Improved A* Algorithm and DWA Algorithm” (2023, 8 citations), proposes a hybrid method that enhances the classic A* algorithm for global path efficiency while integrating an improved Dynamic Window Approach (DWA) for real-time local obstacle avoidance. This dual-algorithm framework reduces path length and node count, and enables robots to safely navigate environments with moving obstacles—a key challenge in warehouse logistics, service robotics, and autonomous vehicles. By fusing global and local planning strategies, Han’s contribution offers a practical solution for robust, adaptive navigation in dynamic settings. Their work is gaining attention as a foundation for further advances in intelligent robot mobility, and continues to influence researchers seeking to balance computational efficiency with safety in autonomous systems.
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