Doo-Young Na
Papers
2
Total Citations
7
H-Index
2
About
Doo-Young Na is a robotics researcher whose work focuses on modular self-reconfigurable robots, particularly their navigation, docking, and obstacle avoidance in uneven or unknown environments. His major contributions include developing a modular robot system with a 3-degree-of-freedom (DOF) docking arm and a novel RGGR coupling mechanism, enabling physical connection between robots to enhance mobility on rough terrain. He also designed a vision-based self-docking controller that uses color-based object recognition and fuzzy logic for obstacle avoidance and sub-target tracking. Although his most-cited papers have modest citation counts (4 and 3), they represent foundational work in modular robotics, addressing key challenges in autonomous docking and cooperative navigation. Na’s research integrates indoor GPS for real-time localization and motion control, allowing robots to estimate position and direction for precise physical coupling. His achievements include the design of a complete modular robot platform with real-time image processing capabilities, contributing to the broader field of adaptive, reconfigurable robotic systems. For students and researchers, Na’s work offers practical insights into the intersection of mechanical design, control algorithms, and computer vision for modular robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2