Y. Frank Chen

Papers

Total Citations

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About

Y. Frank Chen is a leading researcher in intelligent robotics and automated inspection systems, with a focus on integrating deep learning and computer vision into industrial applications. His most influential work, “Automatic seam detection of welding robots using deep learning” (2022, 40 citations), introduces a novel approach that significantly enhances the precision and autonomy of welding robots by leveraging convolutional neural networks for real-time seam identification—a critical advancement for manufacturing efficiency and safety. Chen’s earlier foundational contribution, “An adapted visual servo algorithm for substation equipment inspection robot” (2016, 6 citations), addresses the challenge of accurate target capture in smart substations. By developing a robust visual servo algorithm that improves image-based recognition and tracking of equipment status, his work has helped enable autonomous inspection in hazardous environments, reducing human risk and operational downtime. Together, these contributions underscore Chen’s impact in advancing robotic perception and control, with his deep learning methods paving the way for smarter, more adaptive industrial automation. His research continues to inspire innovations in robotics and intelligent systems.