Gan Zuo
Papers
5
Total Citations
56
H-Index
5
About
Gan Zuo is a prominent robotics and power systems researcher whose work centers on the design, control, and intelligent automation of robots for high-voltage transmission line maintenance. His research addresses one of the most critical challenges in modern power infrastructure: performing live maintenance on ultra-high-voltage (UHV) and multi-split transmission lines safely and efficiently, without exposing human workers to dangerous conditions. Zuo's most influential contribution, "Research on key technologies of multi-task-oriented live maintenance robots for Ultra High Voltage multi-split transmission lines" (2020, 24 citations), tackles fundamental engineering obstacles in deploying practical electric robots for complex cable environments. Complementing this, his work on energy-efficient motion planning using dynamic models (11 citations) and autonomous behavior intelligence control in smart grid contexts (5 citations) demonstrates a holistic approach — spanning mechanical design, kinematics, dynamics, and AI-driven autonomy. His 2019 survey on live maintenance robots (9 citations) further establishes him as a synthesizer of the field's developments. Collectively, Zuo's research significantly advances the transition from manual, high-risk power line operations toward intelligent, automated systems — contributing meaningfully to the broader goal of reliable, next-generation smart grid management.
Research Focus
Key Achievements
Top Papers
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- 3Live maintenance robot for high-voltage transmission lines9 citations · 2019
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