Duc‐Toan Nguyen

Hanoi University of Science and Technology, VNU University of Science

Papers

Total Citations

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About

Duc-Toan Nguyen is a leading researcher at the intersection of intelligent robotics, agricultural automation, and advanced control systems. His work is defined by the innovative application of soft computing and deep learning to solve complex, real-world problems. In his highly cited 2024 paper (18 citations), Nguyen introduced an intelligent agricultural robotic detection system that autonomously navigates greenhouses and identifies tomato leaf diseases using a fuzzy control algorithm paired with a deep learning classification model. This contribution significantly advances the field of precision agriculture, offering a scalable solution for autonomous crop monitoring and disease management. Nguyen has also made notable strides in simulation technology, as demonstrated by his 2022 work on auto-tuning motion cueing algorithms for high-performance driving simulators using the Kuka Robocoaster (8 citations). By optimizing the parameters of these complex, six-degree-of-freedom systems, he has enhanced the realism and fidelity of virtual driving environments. Through his research, Nguyen bridges the gap between theoretical control methods and practical, deployable systems, making a tangible impact on both agricultural robotics and advanced simulation technologies.