Yong Baek Kim
Papers
3
Total Citations
10
H-Index
2
About
Yong Baek Kim is a robotics researcher specializing in intelligent control systems for mobile robot formations and dynamic balancing platforms. His work focuses on developing advanced control architectures that combine classical PID controllers with adaptive compensation techniques, including fuzzy logic and neural networks, to enhance stability and performance in multi-robot systems and inverted pendulum robots. His most cited paper (6 citations) introduces a fuzzy compensated PID controller for formation control of mobile robots, employing a leader-follower kinematic approach integrated with a dynamic controller to manage robot dynamics effectively. Another notable contribution presents a PID controller with an adaptive neural network compensator for real-time formation control, demonstrating improved trajectory tracking for circular and linear paths. His research on two-wheeled inverted pendulum robots further showcases the application of neural network-tuned PID gains for enhanced balancing stability. While his citation counts are modest, Kim's work represents practical contributions to the field of mobile robotics, particularly in bridging classical control theory with modern adaptive techniques for real-world applications.
Research Focus
Key Achievements
Top Papers
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