Xuan-Loc Nguyen

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Xuan-Loc Nguyen is a robotics researcher whose work sits at the intersection of computer vision, 3D optical imaging, and intelligent manufacturing. His key contributions center on enabling robots to perceive and interact with their environments with high precision. Nguyen’s most cited work, "Solpen: An Accurate 6-DOF Positioning Tool for Vision-Guided Robotics" (2022), introduces a novel trajectory teaching system that uses a vision-based pen to generate six-degree-of-freedom pose paths. This tool achieves millimeter-level dynamic accuracy, making it highly applicable for industrial tasks such as welding, cutting, painting, and polishing. With 8 citations, this paper demonstrates a practical leap in human-robot interaction for manufacturing. Earlier, in "Automatic 3-D Optical Detection on Orientation of Randomly Oriented Industrial Parts" (2012), Nguyen developed a method using 3D optical imaging and processing algorithms to rapidly classify surface characteristics of parts, enabling efficient robotic pick-and-place manipulation. Though less cited, this foundational work underscores his long-standing focus on automating perception for unstructured environments. Nguyen’s research bridges the gap between theoretical vision algorithms and real-world robotic applications, offering tangible tools for Industry 4.0. His work is particularly valuable for students and engineers seeking to understand how precise 3D sensing can drive adaptive automation in complex industrial settings.