Quilong Yuan

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About

Dr. Quilong Yuan has made impactful contributions to the field of industrial robotics and human-robot collaboration, with a particular focus on automating labor-intensive manufacturing tasks. His key research areas include augmented reality (AR) interfaces for robotic systems and the development of intuitive control methods for specialized industrial applications. Dr. Yuan is best known for his pioneering work on the "Augmented reality interface for taping robot" (2017, 8 citations), which addressed a critical bottleneck in surface protection processes—such as mechanical part repairing and masking—that traditionally required extensive manual labor and time. By integrating AR technology with robotic control, he demonstrated how operators could more efficiently and accurately guide a robot to apply masking tape to complex surfaces, significantly reducing human effort and error. This work has been cited by subsequent studies exploring AR-assisted manufacturing and human-robot interaction, highlighting its foundational role in advancing practical automation solutions. Dr. Yuan’s research continues to bridge the gap between advanced robotics and real-world industrial needs, offering promising pathways for safer, faster, and more precise manufacturing workflows.