Huanhuan Cui
Papers
1
Total Citations
3
H-Index
1
About
Huanhuan Cui’s research focuses on advancing autonomous navigation and robotics, particularly through the fusion of path planning algorithms. Her most-cited work, “Robot Dynamic Path Planning Based on the Fusion of Jump Point Search Algorithm and Dynamic Window Approach” (2024), tackles critical inefficiencies in traditional A* algorithms, which often suffer from slow route computation due to unnecessary node exploration. By integrating Jump Point Search with the Dynamic Window Approach, Cui’s method enhances both global and local navigation, enabling robots to plan paths more efficiently and adapt dynamically to environments. This contribution addresses a key challenge in robotics—balancing computational speed with real-time responsiveness—and has already garnered attention with 3 citations shortly after publication. Cui’s work demonstrates a strong commitment to improving robotic autonomy, with potential applications in logistics, exploration, and service robotics. Her innovative approach to algorithm fusion marks her as a promising researcher in the field, offering practical solutions that bridge theoretical planning and real-world execution.
Research Focus
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Top Papers
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