Anh Hoai Duong
Papers
1
Total Citations
3
H-Index
1
About
Anh Hoai Duong is a researcher specializing in adaptive control systems and robotic manipulation, with a particular focus on uncertain dual-arm robotic systems. Their most-cited work, "Adaptive neural network based dynamic surface control for uncertain dual arm robots" (2019), introduces a novel approach to managing the complex dynamics of dual-arm robots operating under model uncertainties. By integrating neural networks with dynamic surface control, Duong addresses critical challenges in coordination and stability, enabling more robust and precise robotic interactions. This contribution has garnered 3 citations, reflecting its relevance to advancing adaptive control theory in robotics. Duong's research bridges the gap between theoretical control methods and practical robotic applications, offering solutions that enhance the autonomy and reliability of multi-arm systems in manufacturing, healthcare, and service robotics. Their work is particularly valuable for students and researchers exploring neural network-based control strategies, as it provides a foundation for developing intelligent, adaptive robots capable of handling unpredictable environments.
Research Focus
Key Achievements
Top Papers
- 1