Ki Woo Kim
Papers
1
Total Citations
5
H-Index
1
About
Ki Woo Kim is a researcher whose work lies at the intersection of intelligent control systems and mobile robotics. His primary contributions focus on enhancing the autonomous performance of mobile robots through advanced control algorithms. Kim is best known for developing a Type-2 Fuzzy Self-Tuning PID Controller, a sophisticated approach that allows robots to dynamically adjust their behavior in real time, significantly improving obstacle detection and collision avoidance using ultrasonic sensors. This work, published in 2016, has garnered 5 citations and represents a key step toward more adaptive and reliable autonomous navigation in unstructured environments. By integrating fuzzy logic with self-tuning mechanisms, Kim has addressed the limitations of conventional PID controllers, offering a more robust solution for real-world robotic applications. His research is particularly relevant for students and engineers working on autonomous systems, as it demonstrates how adaptive control can bridge the gap between theoretical algorithms and practical deployment in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1