Junfei Wang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Junfei Wang is a robotics researcher whose work focuses on advancing autonomous inspection technologies for critical infrastructure, particularly in constrained and hazardous environments like cable trenches. His primary research areas include path planning algorithms, motion planning for obstacle crossing, and the development of specialized inspection robots. Wang’s major contribution lies in enhancing the efficiency and reliability of robotic navigation in complex, confined spaces. His most-cited paper, "Research on the path planning algorithm and obstacle-crossing motion planning strategy for a cable trench inspection robot" (2024), introduces an improved global path planning algorithm based on the A* method, specifically designed to optimize both route efficiency and obstacle negotiation in challenging terrains. With 3 citations, this work addresses a key bottleneck in automated underground infrastructure inspection, offering practical solutions for real-world deployment. Wang’s research is instrumental in pushing the boundaries of field robotics, where robust navigation is critical for reducing human risk and operational costs. His contributions are paving the way for more intelligent, autonomous systems in utility maintenance and industrial inspection.
Research Focus
Key Achievements
Top Papers
- 1