Van‐Huy Nguyen
Papers
3
Total Citations
8
H-Index
2
About
Van-Huy Nguyen is a robotics researcher whose work bridges optimization, control, and intelligent automation. His primary research areas include inverse kinematics, swarm intelligence algorithms, and sensor fusion for mobile robotics. Nguyen made significant contributions by developing enhanced versions of Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms—termed Pro DE and Pro PSO—which improve search space efficiency for solving complex inverse kinematic problems in 5-DOF SCARA robots. His 2020 paper on this topic has garnered 5 citations, demonstrating its relevance in robotic motion planning. In 2021, he advanced mobile robot navigation through multi-layer sensor fusion, enabling more robust localization and mapping for applications in smart logistics and autonomous services. Most recently, in 2025, Nguyen has pioneered the integration of deep learning with 3D point cloud processing for automatic contour localization in robotic glue spraying, a notable achievement that merges computer vision with industrial automation. With a growing citation record and a trajectory toward real-world robotic applications, Nguyen’s work exemplifies the practical impact of algorithmic innovation in robotics.
Research Focus
Key Achievements
Top Papers
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