Papers
1
Total Citations
7
H-Index
1
About
Wenyu Han is a researcher whose work sits at the intersection of robotics, autonomous navigation, and computational geometry. Their most cited contribution, "Fusion of weighted Voronoi diagram and A* algorithm for mobile robot path planning" (2022, 7 citations), tackles a fundamental challenge in mobile robotics: balancing global path optimality with local obstacle avoidance. By integrating weighted Voronoi diagrams—which encode spatial constraints and obstacle influence—with the classic A* search algorithm, Han developed a hybrid approach that enhances the A* algorithm's search ability in complex environments. This fusion allows for more efficient, safer path generation by leveraging the Voronoi diagram's ability to maintain clearance from obstacles while A* ensures the lowest-cost route. The work is particularly notable for addressing the A* algorithm's limitations in dynamic or cluttered spaces, offering a practical solution for real-world robot navigation. Han's research contributes to the broader fields of intelligent transportation and autonomous systems, with potential applications in warehouse logistics, autonomous driving, and service robotics. Their work demonstrates a keen ability to synthesize classical algorithms with modern geometric methods, making it a valuable reference for students and researchers exploring path planning optimization.
Research Focus
Key Achievements
Top Papers
- 1