Gao Cheng Ye

Wuhan Textile University

Papers

6

Total Citations

63

H-Index

4

About

Gao Cheng Ye is a researcher specializing in intelligent robotics, autonomous systems, and power infrastructure maintenance, with a particular focus on developing cutting-edge robotic solutions for high-voltage transmission line inspection and maintenance. Their work addresses critical challenges in automating dangerous and complex operations within electrical power systems, reducing reliance on manual labor in hazardous environments. Among their most significant contributions is a comprehensive investigation into multi-task-oriented live maintenance robots for Ultra High Voltage (UHV) multi-split transmission lines, which has garnered 24 citations and represents a landmark step toward practical robotic deployment in power systems. Complementing this, their research into mechanism configuration and control system design for power cable mobile maintenance robots (17 citations) has advanced the engineering foundations for autonomous field robots. Their work on energy-efficient motion planning using dynamic models (11 citations) further demonstrates a sophisticated grasp of robotic optimization in real-world applications. Ye's research extends to autonomous behavioral intelligence for self-evolving robots in complex smart grids and trajectory planning for GIS inspection robots operating in confined spaces. Collectively, their publications reflect a sustained effort to modernize power grid maintenance through intelligent automation, contributing meaningfully to the global push for safer, smarter energy infrastructure management.

Research Focus

Key Achievements

4
H-Index
6
Papers
63
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Research on key technologies of multi-task-oriented live maintenance robots for Ultra High Voltage multi-split transmission lines
24 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Wuhan Textile University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago