Ziyang Fu

Guangdong University of Technology

Papers

2

Total Citations

4

H-Index

2

About

Ziyang Fu is a robotics researcher specializing in autonomous systems for hazardous infrastructure environments, with a focus on climbing robots and high-voltage power transmission line maintenance. His work addresses critical challenges in deploying robots for inspection and maintenance tasks that are dangerous for human workers. Fu’s most notable contributions include the development of a robot system capable of performing three typical maintenance tasks on high-voltage power transmission lines, demonstrating a practical solution for replacing human workers in high-altitude, dangerous operations. His research on biped wall-climbing robots integrates Building Information Modeling (BIM) and ArUco markers to enable autonomous navigation in complex 3D curtain wall environments, tackling significant localization challenges. Though early in his career, with his top papers each garnering 2 citations, Fu’s work represents foundational steps toward safer, more efficient infrastructure maintenance. His research bridges robotics, computer vision, and structural engineering, offering promising pathways for autonomous systems in construction and energy sectors. Fu’s contributions are particularly relevant for students and researchers interested in field robotics, autonomous navigation, and human-robot collaboration in high-risk environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Navigation of biped wall-climbing robots using BIM and ArUco markers
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Guangdong University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago