Papers
1
Total Citations
7
H-Index
1
About
Dr. Jiaoyue Liu is a pioneering researcher at the intersection of robotics, artificial intelligence, and structural health monitoring. Her work centers on developing autonomous systems for the predictive maintenance of complex structures, components, and systems (CSSs). Her most cited paper, "Smart robot-enabled remaining useful life prediction and maintenance optimization for complex structures using artificial intelligence and machine learning" (2021, 7 citations), proposes a groundbreaking smart robotic system that replaces traditional, manual inspection methods with real-time, AI-driven health tracking. This work integrates machine learning for remaining useful life (RUL) prediction, enabling proactive maintenance optimization and significantly enhancing the safety and longevity of critical infrastructure. By embedding artificial intelligence directly into robotic platforms, Dr. Liu’s research pushes the boundaries of autonomous diagnostics, offering a scalable solution for industries reliant on complex structural integrity. Her contributions are vital for advancing the next generation of intelligent maintenance systems, promising to reduce downtime and operational costs while improving reliability across aerospace, civil, and mechanical engineering domains.
Research Focus
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Top Papers
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