Zhu Zhiyong

Power Grid Corporation (India)

Papers

2

Total Citations

8

H-Index

2

About

Dr. Zhu Zhiyong is a leading researcher in intelligent robotics and power system automation, with a focused expertise in substation inspection technologies. His work centers on integrating advanced artificial intelligence and machine vision to transform traditional power grid maintenance. Dr. Zhu's major contributions include pioneering the application of deep learning algorithms for robotic control systems, significantly enhancing the efficiency and reliability of automated substation inspections. His 2023 paper on this topic has garnered 6 citations, reflecting its growing influence in the field. Building on this, his 2024 research on machine vision-based navigation further optimizes robotic autonomy, achieving notable improvements in path planning and obstacle detection. These innovations directly address the critical need for intelligent grid management, reducing human risk and operational costs. Dr. Zhu’s work is instrumental in advancing the next generation of smart power infrastructure, making him a key figure in the intersection of robotics and energy systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Design of Deep Learning Algorithm in the Control System of Intelligent Inspection Robot of Substation
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Power Grid Corporation (India)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago