Xiangyong Wang
Papers
1
Total Citations
2
H-Index
1
About
Xiangyong Wang is a researcher specializing in mobile robot navigation, path planning, and intelligent control systems. His most significant contribution lies in developing a hybrid navigation fusion algorithm that integrates an improved A* algorithm with the Dynamic Window Approach (DWA), published in 2021. By optimizing the A* algorithm with fifth-order Bessel curves, Wang enhances global path smoothness and efficiency, while the fusion with DWA ensures real-time obstacle avoidance and dynamic adaptability. This work addresses critical challenges in indoor mobile robotics, balancing computational efficiency with safety. Although his cited work has garnered 2 citations to date, its innovative combination of classical and modern techniques marks a notable achievement in practical robotics. Wang’s research holds promise for applications in autonomous vehicles, warehouse logistics, and service robots, offering a robust framework for real-world navigation. His focus on algorithmic synergy and real-time performance positions him as a contributor to advancing intelligent mobile systems.
Research Focus
Key Achievements
Top Papers
- 1