Yanling Hao
Papers
1
Total Citations
31
H-Index
1
About
Dr. Yanling Hao is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on real-time path planning and obstacle avoidance in dynamic environments. Her most influential work introduces a novel method based on polar coordination particle swarm optimization (PPSO), which elegantly decomposes complex navigation tasks into global and local planning stages. This approach enables robots to efficiently compute optimal paths while dynamically avoiding moving obstacles, addressing a critical challenge in autonomous systems. With over 31 citations on her foundational 2007 paper alone, Hao’s contributions have significantly advanced the field of swarm intelligence applied to robotics. Her work is particularly notable for bridging theoretical optimization algorithms with practical, real-time robotic applications, making her research highly cited by engineers and scholars developing autonomous vehicles, drones, and mobile robots. Dr. Hao’s innovative use of polar coordinates within particle swarm optimization represents a key achievement, offering a computationally efficient solution that remains influential in modern robotics research.
Research Focus
Key Achievements
Top Papers
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