Myung-Ok So
Papers
2
Total Citations
10
H-Index
2
About
Dr. Myung-Ok So is a robotics researcher specializing in intelligent control systems and autonomous navigation for mobile and unmanned robots. Her work focuses on integrating fuzzy logic and optimization algorithms to enhance robot trajectory control and terrain adaptability. In her highly cited 2010 paper, she developed a fuzzy rule-based controller for mobile robot trajectory tracking, using Mamdani-type inference with seven expert-derived rules and proposing a novel scaling factor adjustment method optimized through real-coded genetic algorithms. Her 2008 study introduced a comprehensive framework for unmanned robot navigation, combining terrain map information with regional traversability and speed assessment by analyzing slope and roughness along multiple heading directions. With each of her key papers garnering 5 citations, Dr. So’s contributions provide foundational methodologies for improving robot autonomy in complex environments. Her integration of fuzzy control with evolutionary optimization offers practical solutions for real-world robotic applications, making her work valuable for researchers developing intelligent navigation systems for field robotics and autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy Rule Based Trajectory Control of Mobile Robot5 citations · 2010
- 2Traversability analysis for navigation of unmanned robots5 citations · 2008