Guojie Chen

Papers

Total Citations

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About

Guojie Chen is a researcher whose work centers on the intersection of robotics, machine vision, and industrial automation. His most notable contribution is the design and development of an automatic plug-in system that integrates a SCARA robot with monocular vision technology. By combining a mechanical jaw, CCD camera, and sophisticated coordinate transformation algorithms, Chen created a platform capable of automatic workpiece identification and precise positioning. This system represents a practical advancement in smart manufacturing, enabling robots to "see" and adapt to their environment in real time. While his highly specialized work has garnered modest citation counts—his flagship 2017 paper has been cited twice—it demonstrates foundational research in vision-guided robotics that holds potential for broader applications in assembly line automation. Chen's approach to fusing hardware and software for real-world industrial tasks reflects a commitment to solving tangible engineering challenges, making his research a valuable reference for those exploring the integration of computer vision into robotic manipulation systems.