Papers
2
Total Citations
250
H-Index
2
About
Yuan Yu is a leading researcher in robotics and autonomous navigation, with a primary focus on path-planning algorithms for mobile and maze robots. His foundational work, "Application of Dijkstra algorithm in robot path-planning" (2011), has garnered 244 citations, establishing a classic model for selecting the shortest path in obstacle-laden environments and proving its effectiveness through simulation. This contribution remains a cornerstone for students and engineers tackling basic robotic navigation challenges. More recently, Yu has advanced the field by integrating deep learning with the D* Lite algorithm, as demonstrated in his 2023 paper "A Novel Robotic Path Planning Method in Grid Map Context Based on D* Lite Algorithm and Deep Learning." This work addresses the critical need for efficient path planning under complex, large-scale maps, offering a fusion algorithm that enhances adaptability and performance. With a career spanning over a decade, Yuan Yu bridges classical optimization techniques and modern AI, making his research invaluable for both foundational learning and cutting-edge applications in robotics.
Research Focus
Key Achievements
Top Papers
- 1Application of Dijkstra algorithm in robot path-planning244 citations · 2011
- 2