Sang Hyuk Park
Papers
1
Total Citations
5
H-Index
1
About
Sang Hyuk Park is a researcher specializing in autonomous mobile robotics, intelligent control systems, and fuzzy logic applications. His most cited work, "The Autonomous Performance Improvement of Mobile Robot using Type-2 Fuzzy Self-Tuning PID Controller" (2016, 5 citations), introduces a novel approach to enhancing robot navigation and obstacle avoidance. Park’s key contribution lies in integrating Type-2 fuzzy logic with self-tuning PID controllers, enabling mobile robots to adapt more effectively to dynamic environments using ultrasonic sensor data. This work addresses critical challenges in autonomous driving, such as collision avoidance and performance optimization in uncertain conditions. Though his citation count is modest, Park’s research represents a meaningful step toward more robust and intelligent robotic systems, blending adaptive control theory with practical implementation. His efforts contribute to the broader field of autonomous systems, where reliability and real-time adaptability are paramount. For students and researchers exploring fuzzy control or mobile robotics, Park’s work offers a clear example of how hybrid control strategies can improve machine autonomy in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1