Quoc‐Viet Tran

Papers

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About

Quoc-Viet Tran is a robotics researcher whose work centers on vision-guided manipulation, precision positioning, and human-robot interaction. His most notable contribution is the development of Solpen, an innovative 6-DOF positioning tool for vision-guided robotics, detailed in his 2022 paper. Solpen functions as a trajectory teaching system that allows operators to intuitively generate complex pose paths for applications such as welding, cutting, painting, and polishing, achieving millimeter-level dynamic accuracy. This work bridges the gap between human dexterity and robotic precision, offering a practical solution for industrial automation. With over 8 citations to date, Tran’s research is gaining recognition for its direct impact on manufacturing efficiency. His broader interests include sensor fusion, real-time control, and the integration of computer vision with robotic systems. By focusing on accessible, high-accuracy tools, Tran is helping to democratize advanced robotics for small and medium enterprises, making him a rising figure in applied robotics research.