Zefeng Pan
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About
Dr. Zefeng Pan is a leading researcher in the field of intelligent infrastructure inspection, with a primary focus on robotic non-destructive evaluation and computer vision for civil engineering. His work centers on developing automated systems to detect superficial defects—such as cracks and corrosion—on critical structures like bridge piers, addressing a key challenge in structural health monitoring. Dr. Pan’s major contribution is the design of a novel ring vision acquisition system integrated with a climbing operation robot, which overcomes the limitations of traditional UAVs and wall-climbing robots by providing stable, high-resolution imaging in complex environments. This innovation, detailed in his 2025 paper on "Automated Intelligent Detection of Defects on Bridge Piers Using a Climbing Operation Robot and Vision Mamba," has already garnered early citations, signaling its potential to transform maintenance practices. By combining robotics with advanced vision models like Vision Mamba, Dr. Pan enhances the accuracy and efficiency of defect detection, reducing human risk and downtime. His work is paving the way for smarter, safer infrastructure management, making him a rising figure in the intersection of robotics and civil engineering.
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