Myo Thant Sin Aung

Kyushu University, Yangon Technological University

Papers

Total Citations

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About

Myo Thant Sin Aung is a roboticist and control systems engineer whose work bridges precision motion control and autonomous mobile robotics. His research focuses on two key areas: improving positioning accuracy in mechanical systems through advanced control strategies, and enabling autonomous navigation for wheeled robots in complex environments. In his 2015 paper on acceleration feedback and friction compensation, Aung addressed a fundamental challenge in high-gain PID control—the risk of overshoot during discontinuous commands. By integrating acceleration feedback with friction compensation, he developed a controller that achieves both stiff position holding and accurate trajectory tracking, a contribution that has garnered 4 citations for its practical relevance to industrial automation. His 2018 work on the Tri-Star wheeled robot represents a significant leap in autonomous stair navigation. Aung designed a sensor-driven algorithm that enables the robot to autonomously detect stairs and seamlessly switch between rolling, ascending, and descending states, requiring no external guidance. This 3-cited paper demonstrates his ability to solve real-world mobility challenges using minimal sensor input. Aung’s research stands out for its direct applicability—from factory floors to disaster response—making him a notable figure in the advancement of intelligent, adaptive robotic systems.