Papers
4
Total Citations
39
H-Index
4
About
Min Yan Naing is a robotics researcher whose work centers on self-reconfigurable systems, autonomous cleaning robots, and computer vision–based control. His most significant contributions lie in the development of hTetro, a Tetris-inspired tiling robot capable of autonomously reconfiguring its shape to cover irregular floor areas. In his highly cited 2022 study, Naing demonstrated long-term trials that improved the robot’s area coverage efficiency, achieving 12 citations for advancing practical deployment strategies. Earlier, he modeled and analyzed the cleaning system of hTetro (10 citations), addressing the growing demand for intelligent domestic floor-cleaning robots that go beyond simple brush-and-vacuum designs. Naing also made notable strides in mobile robotics by developing computer vision–based movement control for Mecanum wheel robotic cars, enabling precise target approach through real-time image processing with OpenCV (two papers, 10 and 7 citations). His work bridges modular robotics and vision-guided navigation, offering scalable solutions for automation. With a total of 39 citations across his most-cited papers, Naing’s research is steadily influencing the fields of reconfigurable robotics and autonomous cleaning, laying groundwork for more adaptive and intelligent service robots.
Research Focus
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Top Papers
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