Shengxiang Xu

National Taipei University of Technology

Papers

Total Citations

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About

Dr. Shengxiang Xu is a robotics researcher whose work focuses on the integration of artificial intelligence, autonomous navigation, and robotic manipulation for industrial automation. His most notable contribution is the development of an AI-enabled automated guided vehicle (AGV) equipped with a robotic manipulator, designed for use in assembly production lines. This system leverages ROS (Robot Operating System) architecture, dual LIDAR sensors for simultaneous localization and mapping (SLAM), and an RGBD camera for environmental perception, enabling fully autonomous navigation and object manipulation. While his most-cited paper has garnered 9 citations, his work represents a practical step toward flexible, intelligent manufacturing systems that combine mobility with precision handling. Dr. Xu’s research is particularly relevant for students and engineers interested in the convergence of mobile robotics, computer vision, and industrial automation, offering a tangible example of how AI and sensor fusion can transform traditional production environments into adaptive, autonomous workspaces.