Chuyi Dai

Xuzhou University of Technology, Xidian University

Papers

Total Citations

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About

Chuyi Dai is a researcher advancing precision in robotic welding and augmented reality through innovative computer vision and measurement algorithms. Their primary research areas include laser stripe extraction for industrial automation, real-time object registration, and robust feature matching techniques. Dai’s most notable contribution is the development of WeldNet, an ultra-fast measurement algorithm for precision laser stripe extraction in robotic welding, which has garnered 8 citations since 2024 and promises to enhance welding accuracy and efficiency. Earlier work on a real object registration algorithm based on SURF and RANSAC (2021, 2 citations) addressed the growing need for reliable virtual reality feedback in mobile applications, tackling challenges in matching real-scene items without external markers. By combining speed with precision, Dai’s research bridges the gap between industrial robotics and consumer AR technologies, offering practical solutions for high-stakes manufacturing environments. Their work stands out for its potential to streamline automated welding processes and improve immersive user experiences, marking Dai as a rising contributor to applied computer vision.