Cuong Nguyen Manh
Papers
5
Total Citations
98
H-Index
5
About
Cuong Nguyen Manh is a robotics researcher whose work centers on autonomous navigation, motion control, and intelligent systems for omnidirectional mobile robots. Over the course of his career, he has made significant contributions to the development of self-driving robotic platforms, particularly through the integration of the Robot Operating System (ROS) with advanced control and learning methodologies. His 2019 and 2020 papers on mapping, navigation, and ROS-based systems laid important groundwork for practical implementations of Simultaneous Localization and Mapping (SLAM) in omnidirectional robots, collectively attracting over 40 citations. Notably, his exploration of deep reinforcement learning for autonomous navigation demonstrates a forward-looking approach to adaptive robot decision-making. His 2021 work on Radial Basis Function Neural Networks for uncertain model compensation further highlights his expertise in intelligent adaptive control, while his 2022 contribution on Nonlinear Model Predictive Control (NMPC) underscores a commitment to rigorous, mathematically grounded navigation strategies. With more than 98 total citations across his most recognized publications, Cuong Nguyen Manh has established himself as a meaningful contributor to the rapidly evolving field of autonomous mobile robotics.
Research Focus
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Top Papers
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