Aung San Oo
Papers
2
Total Citations
17
H-Index
2
About
Aung San Oo is a robotics researcher specializing in computer vision and autonomous vehicle control, with a particular focus on omnidirectional locomotion systems. His work centers on developing vision-based control architectures for mecanum wheel robotic platforms, enabling precise movement and target approach through real-time image processing. In his most cited paper, "Development of Computer Vision-Based Movement Controlling in Mecanum Wheel Robotic Car" (10 citations), he demonstrates how wireless computer vision can guide a four-mecanum-wheel robot to approach targets using a main microcontroller. His follow-up work, "Experiment on Real-Time Image Processing in the Controlling of Mecanum Wheel Robotic Car" (7 citations), advances this methodology by integrating OpenCV for camera-based localization, allowing the system to simultaneously track both the robot's position and its target. These contributions represent important steps toward practical, vision-driven control systems for holonomic robots, with applications in industrial automation and mobile robotics. While his citation counts reflect an emerging career, his focused research on the intersection of computer vision and mecanum wheel control provides a foundation for future innovations in autonomous navigation and real-time robotic manipulation.
Research Focus
Key Achievements
Top Papers
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