Papers
1
Total Citations
13
H-Index
1
About
Bai Qing is a leading researcher in robotics and autonomous navigation, with a primary focus on wheeled robot path planning and optimization. Their most influential work, "An improved A star algorithm for wheeled robots path planning with jump points search and pruning method" (2022, 13 citations), introduces a novel enhancement to the classic A* algorithm by integrating jump point search and pruning techniques. This contribution significantly improves computational efficiency and path smoothness, addressing critical challenges in real-world applications such as food delivery and room disinfection—areas where robots must navigate dynamic environments while minimizing labor costs and protecting human health. Bai Qing’s research bridges theoretical algorithm design with practical deployment, offering scalable solutions for autonomous systems. Their work has been recognized for its direct impact on reducing path planning complexity, making it a valuable reference for engineers and researchers in mobile robotics. By advancing the efficiency and reliability of wheeled robot navigation, Bai Qing continues to shape the future of service robotics and intelligent automation.
Research Focus
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Top Papers
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