Papers

2

Total Citations

16

H-Index

2

About

Fan Lv is a researcher specializing in robotics, with a particular focus on the design and analysis of climbing robots for infrastructure inspection. Their key research areas include dynamic coupling analysis, obstacle-surmounting performance, and safety recovery mechanisms for cable-climbing robotic systems. Lv’s major contributions center on developing all-wheel-drive climbing robots equipped with safety recovery mechanism models, enabling autonomous inspection of critical bridge components such as cables. By establishing mechanical models that analyze the relationship between driving force and resistance, Lv has advanced the understanding of how these robots maintain stability and overcome obstacles during vertical ascent. Their work addresses real-world safety challenges in civil engineering, offering practical solutions for automated bridge maintenance. Among their notable publications, "The Dynamic Coupling Analysis for All-Wheel-Drive Climbing Robot Based on Safety Recovery Mechanism Model" has garnered 12 citations, while "The Obstacle-surmounting Performance of a Cable-climbing Robot" has received 4 citations, reflecting growing interest in this niche but impactful field. Lv’s research bridges robotics and structural health monitoring, contributing to safer, more efficient infrastructure management.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
The Dynamic Coupling Analysis for All-Wheel-Drive Climbing Robot Based on Safety Recovery Mechanism Model
12 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nanjing University of Posts and Telecommunications

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago