Geon-Wu Jeong
Papers
1
Total Citations
3
H-Index
1
About
Geon-Wu Jeong is a researcher specializing in intelligent control systems, robotics, and the integration of artificial intelligence with mechanical engineering. His work focuses on developing advanced control strategies for dynamic systems, particularly two-wheeled inverted pendulum robots—a platform crucial for eco-friendly personal transportation and autonomous balancing technologies. Jeong’s major contribution lies in his innovative fusion of fuzzy logic control with artificial neural networks to enhance system stability and adaptability. In his most cited paper, “Implementation of a Fuzzy Control System for Two-Wheeled Inverted Pendulum Robot based on Artificial Neural Network” (2013), he addressed the challenge of maintaining balance under varying loads by using a neural network to tune fuzzy membership functions. This approach allowed the control system to adapt to different weights without manual recalibration, significantly improving robustness over traditional methods. Although his citation count (3) is modest, the work demonstrates a practical, hands-on methodology—implementing the system on a physical robot—which underscores his commitment to bridging theory and real-world application. Jeong’s research offers valuable insights for students and engineers exploring neural-fuzzy integration in mechatronics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1