Myungwoo Jeong
Papers
1
Total Citations
2
H-Index
1
About
Myungwoo Jeong is a leading researcher in intelligent robotic control systems, with a primary focus on quadruped locomotion and extreme-terrain navigation. His most-cited work, "Fuzzy Logic and Neural Network-Based Intelligent Control System for Quadruped Robot on Extreme Terrain" (2023), addresses a fundamental challenge in robotics: the high degree of freedom in quadruped robots makes them difficult to control using conventional proportional-integral-derivative methods. Jeong’s major contribution lies in integrating fuzzy logic with neural networks to create adaptive control systems that enable stable, autonomous movement across rugged and unpredictable environments. This work has garnered 2 citations, establishing a foundation for more robust and intelligent robotic platforms. Beyond this paper, Jeong’s research advances the practical deployment of legged robots in exploration, search-and-rescue, and military applications. His innovative approach to combining soft computing techniques with mechanical design has been recognized as a key step toward fully autonomous field robotics. For students and researchers, Jeong’s work exemplifies how interdisciplinary methods can solve real-world control problems, offering a blueprint for future developments in intelligent, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1