Pham Xuan Duong

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About

Pham Xuan Duong is a leading researcher in advanced robotics control, specializing in the coordination and manipulation of dual-arm robotic systems. His work centers on developing robust control strategies that ensure precision and stability in complex, multi-arm operations, a critical challenge for applications in manufacturing, healthcare, and autonomous systems. Duong’s major contributions include pioneering adaptive neural network second-order sliding mode control, which significantly enhances the tracking accuracy and disturbance rejection of dual-arm robots—a method that has garnered 48 citations for its innovative approach. He has also advanced parameter estimator-integrated sliding mode control, offering a unified framework for real-time system identification and robust motion control, cited 19 times. These achievements demonstrate his impact in bridging theoretical control design with practical robotic implementation, providing scalable solutions for cooperative manipulation. Duong’s work is essential reading for researchers and students in robotics, control engineering, and mechatronics, offering foundational techniques that push the boundaries of autonomous robotic performance in dynamic environments.