Huifang Bao
Papers
2
Total Citations
4
H-Index
1
About
Huifang Bao is a researcher focused on advancing autonomous navigation and mobile robotics, with a particular emphasis on path planning algorithms. Her work centers on improving the A* algorithm—a cornerstone of robotic motion planning—to address critical limitations in both static and dynamic environments. Bao’s major contributions include developing enhanced path planning strategies that reduce collision risks, optimize node resource utilization, and increase search efficiency, while also improving path smoothness and safety for real-world applications. Her 2023 paper on static/dynamic global path planning for mobile robots, which has garnered 3 citations, proposes a refined A* algorithm that tackles issues such as suboptimal paths and excessive turning nodes. In her 2024 follow-up study on unmanned charging vehicles, she further extends this work to address practical challenges like low search efficiency and insufficient path safety. Though early in her career, Bao’s research is already laying important groundwork for safer and more efficient autonomous systems, making her a promising voice in the field of intelligent robotics and autonomous driving technology.
Research Focus
Key Achievements
Top Papers
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