Papers

1

Total Citations

15

H-Index

1

About

Qiaoqiao Tang is a leading researcher in the application of robotics to power system operations, with a primary focus on enhancing the efficiency and safety of grid equipment maintenance and inspection. Her seminal work, "A Survey of the Application of Robots in Power System Operation and Maintenance Management" (2019), has garnered 15 citations, establishing a foundational framework for integrating robotic technologies into high-risk electrical environments. Tang’s major contribution lies in systematically identifying the shortcomings of traditional manual detection—namely low efficiency and safety hazards—and demonstrating how specialized power robots can overcome these challenges. Her research has directly influenced the development of robots capable of performing complex tasks such as live-line maintenance and autonomous fault diagnosis, significantly reducing human exposure to dangerous conditions. By bridging the gap between robotics engineering and electrical utility management, Tang has paved the way for smarter, more resilient power grids. Her work continues to inspire innovations in autonomous inspection systems and is widely referenced by both academic researchers and industry practitioners seeking to modernize power infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A Survey of the Application of Robots in Power System Operation and Maintenance Management
15 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Guizhou Electric Power Design and Research Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago