Yaonan Dai
Papers
2
Total Citations
86
H-Index
2
About
Dr. Yaonan Dai is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on path planning algorithms for mobile robots. His work addresses critical challenges in enabling robots to navigate complex, dynamic environments efficiently and safely. Dr. Dai’s most influential contribution is the development of a novel whale optimization algorithm for path planning, detailed in his 2022 paper, which has garnered 80 citations—a testament to its significant impact on the field. This bio-inspired approach offers a powerful alternative to traditional methods, improving route optimality and convergence speed. More recently, in 2024, Dr. Dai introduced the APF-IBRRT* algorithm, a global path planning strategy that integrates artificial potential fields with an improved rapidly-exploring random tree (RRT) to enhance iterative search efficiency and obstacle avoidance in narrow indoor spaces. This work directly addresses the limitations of standard RRT variants in cluttered environments. Through these contributions, Dr. Dai is advancing the practical deployment of autonomous robots in real-world settings, from service robotics to industrial automation.
Research Focus
Key Achievements
Top Papers
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