Zhi Xie
Papers
3
Total Citations
8
H-Index
2
About
Zhi Xie’s research focuses on advancing robotic systems for critical infrastructure inspection, with a particular emphasis on obstacle recognition and autonomous navigation for power line inspection robots. His work addresses the fundamental challenge of enabling robots to reliably detect and negotiate obstacles in complex, unstructured environments—a key step toward fully autonomous inspection. In his 2009 paper "The obstacle recognition approach for a power line inspection robot" (4 citations), Xie introduced algorithms for object recognition from cluttered backgrounds, specifically designed for two-arm rotary mechanism robots. His complementary work, "Vision Based Obstacle Recognition Approach of a Power Line Inspection Robot" (2 citations), further detailed the control system architecture and vision-based recognition methods. Beyond power lines, Xie applied robotic inspection to industrial infrastructure, as seen in his work on vertical tank capacity measurement (2 citations), where he combined wall-climbing robots with liquid level meters to improve measurement accuracy. Though his citation counts are modest, Xie’s contributions are foundational to the niche field of autonomous inspection robotics, laying the groundwork for safer, more efficient monitoring of critical energy and industrial assets.
Research Focus
Key Achievements
Top Papers
- 1The obstacle recognition approach for a power line inspection robot4 citations · 2009
- 2
- 3Research on the Innovative Examination Method of Vertical Tank Capacity2 citations · 2009