Papers

3

Total Citations

25

H-Index

3

About

Juzheng Mao is a robotics engineer whose research focuses on autonomous inspection and maintenance systems for critical infrastructure, spanning overhead power lines, hydraulic structures, and industrial metal facilities. His work integrates aerial, underwater, and tracked robotic platforms with computer vision and control systems to solve real-world challenges in asset monitoring. Mao’s most-cited paper (19 citations) introduces a novel X-ray inspection robot combined with anchor-free computer vision for detecting internal defects in aluminum conductor composite core (ACCC) transmission lines—a critical contribution to grid stability. He has also developed a fully actuated aerial manipulator system capable of applying controlled contact forces to measure metal thickness, and an underwater tracked cleaning robot (UTC-RS) designed for fine surface preparation on hydraulic structures. These projects demonstrate his ability to design end-to-end robotic solutions—from platform mechanics to control algorithms—for environments that are hazardous or inaccessible to humans. Mao’s work is notable for its practical impact on infrastructure safety and maintenance automation, with his systems directly addressing gaps in nondestructive testing and underwater cleaning.

Research Focus

Key Achievements

3
H-Index
3
Papers
25
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Internal Defect Detection of Overhead Aluminum Conductor Composite Core Transmission Lines With an Inspection Robot and Computer Vision
19 citations · 2023
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: State Key Laboratory of Digital Medical Engineering

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago