Ha-Lyong Jang

Papers

Total Citations

H-Index

About

Ha-Lyong Jang is a researcher whose work centers on intelligent control systems and robotics, with a particular focus on fuzzy logic-based approaches for mobile robot navigation. His most cited paper, "Fuzzy Rule Based Trajectory Control of Mobile Robot" (2010), introduces a Mamdani-type fuzzy controller that uses the angle and angular velocity between the robot and its target as inputs to infer the steering angle. The system employs seven fuzzy rules derived from expert knowledge, and a key contribution is the proposal of a scaling factor adjustment method using real-coded genetic algorithms for parameter optimization. This work, with 5 citations, demonstrates Jang's commitment to enhancing the precision and adaptability of autonomous mobile systems through soft computing techniques. His research bridges theoretical fuzzy control with practical robotic applications, offering valuable insights for students and researchers in robotics and control engineering. Jang's contributions are particularly relevant for those exploring intelligent trajectory tracking and optimization in dynamic environments.