Duy Nguyen Trung
Papers
1
Total Citations
3
H-Index
1
About
Duy Nguyen Trung is an emerging researcher in the field of robotics and intelligent control systems, with a focus on reinforcement learning and neural network-based control for robotic manipulators. His most notable work, "Reinforcement Control for Planar Robot Based on Neural Network and Extended State Observer" (2023), introduces a novel approach that combines reinforcement learning with extended state observers to enhance the stability and adaptability of planar robots in dynamic environments. This contribution addresses critical challenges in real-time robot control, offering a framework that improves disturbance rejection and learning efficiency. Although his citation count is still growing—with 3 citations to date—his work represents a promising step toward integrating adaptive control with observer-based techniques. Nguyen Trung’s research is particularly relevant for students and engineers exploring how reinforcement learning can be practically applied to robotic systems, bridging the gap between theoretical algorithms and real-world implementation. His ongoing efforts signal a dedication to advancing intelligent automation, making him a researcher to watch in the evolving landscape of robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1