Papers
4
Total Citations
137
H-Index
4
About
Ha Xuan Nguyen is a leading researcher in the field of robotic precision and calibration, with a focus on enhancing the absolute pose accuracy of industrial and humanoid robots. His work masterfully bridges classical control theory and modern computational intelligence, developing hybrid algorithms that combine Extended Kalman Filters (EKF) with advanced neural networks and swarm optimization techniques. His most cited paper (82 citations) introduces a robot calibration method using a neural network trained by a butterfly and flower pollination algorithm (ANN-BFPA), significantly improving positional accuracy. He has further advanced the field by integrating Levenberg-Marquardt with accelerated particle swarm optimization (LMAPSO) and by fusing EKF with dual quantum-behaved particle swarm optimization and adaptive neuro-fuzzy inference systems (ANFIS). Beyond calibration, Nguyen has explored human-robot interaction, developing an inverse kinematic control system for a humanoid arm using Microsoft Kinect. With a cumulative impact of over 130 citations on his top works, all published in 2021, Nguyen is recognized for pushing the boundaries of robot precision, making his research essential for engineers working on next-generation manufacturing and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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