Kiem Nguyen Tien

Papers

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About

Kiem Nguyen Tien is a robotics researcher whose work centers on intelligent navigation and robust control for mobile robots operating in challenging, real-world environments. His key research areas include autonomous navigation systems, adaptive control theory, and the application of neural networks to compensate for complex dynamic uncertainties. A standout contribution is his 2020 paper, "An Approach to Design Navigation System for Omnidirectional Mobile Robot Based on ROS," which has garnered 28 citations for its practical, open-source framework that integrates the Robot Operating System (ROS) for flexible and efficient robot guidance. In a more technically demanding study, Tien designed a robust adaptive tracking backstepping controller for wheeled mobile robots, specifically addressing the critical problems of unknown wheel slippage and actuator saturation. This work, cited twice, innovatively employs a radial basis function neural network (RBFNN) to estimate and counteract unpredictable terrain conditions, significantly enhancing robot stability and tracking precision. Through these contributions, Tien has demonstrated a strong ability to bridge theoretical control methods with deployable robotic systems, making his research valuable for advancing autonomous ground vehicles in agriculture, logistics, and service robotics.