Han-Il Park

Papers

Total Citations

H-Index

About

Dr. Han-Il Park is a robotics researcher whose work centers on intelligent control systems for mobile robots, with a particular focus on fuzzy logic-based trajectory control. His most-cited paper, "Fuzzy Rule Based Trajectory Control of Mobile Robot" (2010), introduces a Mamdani-type fuzzy controller that uses the angle between the robot and its target, along with the rate of change of that angle, as inputs to infer the steering angle. This approach leverages seven fuzzy rules derived from expert knowledge, demonstrating a practical application of heuristic control. A key contribution of this work is the proposal of a novel method for adjusting scaling factors—a critical aspect of fuzzy controller design—using a real-coded genetic algorithm for parameter optimization. While his citation count (5) reflects a focused, early-career impact, the paper addresses fundamental challenges in mobile robot navigation and control system tuning. Dr. Park's research bridges theoretical fuzzy logic with real-world robotic applications, offering insights that are valuable for students and researchers exploring adaptive control, evolutionary optimization, and autonomous navigation.