Dayi Zhang
Papers
6
Total Citations
47
H-Index
5
About
Dayi Zhang is a leading researcher in the field of robotic non-destructive evaluation (NDE), specializing in autonomous inspection systems for hazardous and complex industrial environments. Their work focuses on integrating advanced sensing technologies—including customized LIDAR, depth-sensing cameras, and pulsed eddy current (PEC) systems—with mobile robotic platforms such as crawlers and unmanned aerial vehicles (UAVs). Zhang’s major contributions include developing novel localization methods for feature-sparse components, enabling robots to navigate and inspect nuclear reactors and other critical infrastructure with high positional accuracy. Their 2021 paper on LIDAR-based robot localization for nuclear reactor inspections has garnered 16 citations, highlighting its foundational impact. More recent work (2023–2024) addresses key challenges in sensor fusion, error mitigation, and EMAT array optimization for weld inspection, with papers accumulating 6–9 citations each. Zhang’s research bridges the gap between robotics and NDE, advancing the safety and efficiency of inspections in constrained, high-risk settings. Their innovative use of force-torque sensors to correct RGB-D camera errors for ultrasonic testing exemplifies their commitment to robust, real-world solutions.
Research Focus
Key Achievements
Top Papers
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- 3Evaluation of Pulse Eddy Current for Autonomous Airborne Inspections7 citations · 2024
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