Xianyou Ji
Papers
1
Total Citations
48
H-Index
1
About
Xianyou Ji is a leading researcher in intelligent navigation and autonomous robotics, with a core focus on path planning and obstacle avoidance in complex environments. Their most influential work, "Improvement and Fusion of A* Algorithm and Dynamic Window Approach Considering Complex Environmental Information" (2021, 48 citations), presents a groundbreaking hybrid algorithm that seamlessly integrates global path optimization with real-time local motion control. This contribution significantly enhances the efficiency and safety of autonomous systems operating in dynamic, unpredictable settings—a critical advancement for applications in warehouse logistics, autonomous driving, and search-and-rescue robotics. By refining the classic A* search to reduce computational overhead and fusing it with the Dynamic Window Approach for adaptive speed and steering, Ji’s work has become a foundational reference for researchers tackling the trade-off between long-term planning and immediate responsiveness. Their research continues to push the boundaries of intelligent mobility, offering practical solutions that bridge theoretical algorithm design with real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1