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About
Yukuan Kang is a leading researcher in intelligent robotics and non-destructive evaluation, with a focus on automated inspection systems for advanced composite materials. His primary research areas encompass visual servoing, multiscale sensing, and robotic manipulation for defect detection in heterogeneous structures. Kang’s most notable contribution is the development of a physically guided multiscale visual servoing robot for automatic detection of large heterogeneous composite structures, a breakthrough that integrates optical pulsed thermography (OPT) with adaptive robotic control. This work addresses a critical challenge in aerospace and manufacturing: the efficient, high-resolution inspection of large-scale composites, where conventional fixed platforms fall short. His 2025 paper on this system has already garnered 2 citations, signaling early recognition for its practical impact. By combining physics-based guidance with multiscale visual feedback, Kang’s approach enables autonomous, real-time defect localization in complex geometries—a significant leap forward for quality assurance in safety-critical industries. His research bridges robotics, materials science, and computer vision, offering scalable solutions for next-generation inspection. For students and researchers, Kang’s work exemplifies how interdisciplinary innovation can transform industrial maintenance and reliability.
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