Sam Chau Duong

University of the Ryukyus University Hospital, University of the Ryukyus

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About

Sam Chau Duong is a researcher specializing in intelligent control systems for complex robotic platforms, with a particular focus on underactuated and nonholonomic systems. His work addresses fundamental challenges in robotics, including the control of systems that cannot be stabilized using conventional continuous feedback methods. Duong’s most cited paper, "Intelligent control of a three-DOF planar underactuated manipulator" (2009, 5 citations), explores advanced control strategies for robots with fewer actuators than degrees of freedom. In "Neurocontroller with a genetic algorithm for nonholonomic systems: flying robot and four-wheel vehicle examples" (2009, 4 citations), he demonstrates the integration of neural networks and evolutionary optimization for autonomous navigation. His paper "A discontinuous control of a nonholonomic wheeled mobile robot" (2009, 3 citations) addresses a well-known limitation in control theory—the inability to asymptotically stabilize nonholonomic systems using continuous static state feedback—by proposing a discontinuous control approach. Through these contributions, Duong has advanced the field of intelligent robotics, offering practical solutions for autonomous vehicles and manipulators operating under complex constraints.