Myo Min Aung
Papers
3
Total Citations
8
H-Index
2
About
Myo Min Aung is a robotics and automation researcher whose work focuses on integrating intelligent control systems with real-world industrial applications. His primary research areas include computer vision, autonomous navigation, and robotic balancing systems, with a strong emphasis on practical implementations for manufacturing and logistics. Aung’s most cited paper, “Real-time Vision image processing based on LabVIEW and Microcontroller controlled Parallel Robot” (4 citations), introduces a camera-based system that classifies object colors and enables parallel robots to perform precise pick-and-place operations, addressing inefficiencies in factory manual inspections. He further demonstrates his versatility with the “Design and Development of the Unicycle Balancing Robot Using Linear Slider” (2 citations), tackling the complex challenge of stabilizing a highly non-linear, single-contact-point robot through innovative slider mechanisms. In “Enhancing Outdoor Warehouse Operations: Design and Development of GPS and Compass-Guided Automatic Vehicles” (2 citations), Aung advances automated guided vehicle (AGV) technology for outdoor environments, merging robotics with GPS and compass guidance to boost efficiency in modern manufacturing. His work bridges theoretical control challenges with tangible automation solutions, making significant strides toward smarter, more adaptive industrial systems.
Research Focus
Key Achievements
Top Papers
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