Zhenzhen Yu

Papers

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About

Dr. Zhenzhen Yu is a leading researcher at the intersection of artificial intelligence, robotics, and nondestructive evaluation (NDE), with a primary focus on developing autonomous systems for structural health monitoring and repair. Her most notable contribution is the pioneering concept and prototype of an AI-enabled mobile robotic platform that integrates advanced NDE capabilities for live, autonomous inspection and repair of critical infrastructure. This work, published in 2021 and garnering 6 citations, addresses the pressing need for intelligent, self-navigating systems in hazardous industrial environments, such as power plant boilers, where manual inspection is dangerous and inefficient. By embedding AI-driven decision-making into robotic NDE, Dr. Yu has laid the groundwork for a new generation of autonomous maintenance technologies that can detect and assess structural damage in real time, significantly improving safety and operational efficiency. Her research bridges the gap between robotics, machine learning, and materials science, offering transformative solutions for asset integrity management. Dr. Yu’s work is particularly impactful for students and researchers interested in the practical deployment of AI in industrial robotics and the future of smart infrastructure.