Young In Kim
Papers
1
Total Citations
5
H-Index
1
About
Young In Kim is a robotics researcher whose work focuses on advancing autonomous navigation and control systems for mobile robots. A key contribution is the development of a Type-2 Fuzzy Self-Tuning PID Controller, which enhances a robot’s ability to autonomously avoid obstacles and improve driving performance in dynamic environments. This approach, detailed in his 2016 paper, leverages ultrasonic sensors and adaptive control methods to reduce collisions and increase operational reliability—a critical step toward deploying robots in real-world industrial and service settings. While his most-cited paper has garnered 5 citations, it represents foundational work in integrating fuzzy logic with self-tuning mechanisms for robust motion control. Kim’s research addresses the practical challenge of enabling robots to perform safely and efficiently without human intervention, contributing to the broader field of intelligent autonomous systems. His work is particularly relevant for students and engineers interested in sensor-based navigation, adaptive control theory, and the application of fuzzy systems in robotics.
Research Focus
Key Achievements
Top Papers
- 1