Yuhang Wu
Papers
1
Total Citations
2
H-Index
1
About
Yuhang Wu is a robotics researcher whose work focuses on autonomous navigation and inspection systems, particularly for quadruped robots in urban infrastructure applications. His major contribution lies in developing advanced path planning algorithms that enable legged robots to navigate complex environments safely and efficiently. In his most-cited paper, "Path planning of quadruped robot for urban natural gas pipe leakage inspection based on optimized RRT* and DWA algorithms," Wu proposes a hybrid ORRT*-DWA approach that combines an optimized Rapidly-exploring Random Tree Star (RRT*) with the Dynamic Window Approach (DWA). This algorithm addresses the critical challenge of autonomous inspection of urban natural gas pipelines, where leakage detection is essential for preventing safety hazards and economic losses. By enabling quadruped robots to plan optimal paths while avoiding obstacles in real-time, Wu's work bridges the gap between robotic mobility and practical industrial monitoring. Though early in his career with 2 citations on this work, his research represents a promising step toward deploying legged robots for hazardous infrastructure inspection tasks, potentially reducing human risk and improving maintenance efficiency in urban environments.
Research Focus
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Top Papers
- 1