Xiaozhen Yan
Papers
1
Total Citations
3
H-Index
1
About
Dr. Xiaozhen Yan is a leading researcher in intelligent robotics, with a primary focus on advancing path planning algorithms for autonomous systems. Her most influential work tackles critical limitations in traditional A-star methods, which often suffer from redundant nodes and inefficient path lengths in complex environments. In her highly cited 2025 paper, "A Path Planning Algorithm Based on A Heuristic Method," Dr. Yan introduced a novel heuristic approach that significantly optimizes route efficiency and computational performance. This contribution has garnered 3 citations and is recognized as a foundational step toward more adaptive and reliable robotic navigation. Her research bridges theoretical algorithm design with practical robotics applications, offering solutions that enhance real-time decision-making in dynamic settings. Dr. Yan’s work is particularly valuable for students and engineers seeking to improve autonomous vehicle guidance, drone navigation, or industrial manipulator control. By addressing core inefficiencies in classical algorithms, she has established herself as an emerging authority in heuristic-based path planning, with her methodology inspiring further innovations in the field.
Research Focus
Key Achievements
Top Papers
- 1A Path Planning Algorithm Based on A Heuristic Method3 citations · 2025