Chih‐Hao Chang
Papers
1
Total Citations
10
H-Index
1
About
Chih-Hao Chang is a researcher specializing in control systems, robotics, and optimization methods, with a particular focus on wheeled mobile robots (WMRs) and intelligent control design. His most cited work, "Applications of Taguchi method to PID control for path tracking of a wheeled mobile robot" (2018, 10 citations), demonstrates his key contribution: integrating the Taguchi method—a robust design optimization technique—with Proportional-Integral-Derivative (PID) controllers to enhance path tracking accuracy for WMRs. By systematically tuning PID parameters through multi-objective optimization, Chang’s approach improves step response performance and trajectory precision, addressing critical challenges in autonomous navigation. This work highlights his ability to bridge classical control theory with modern optimization tools, offering practical solutions for mobile robotics. While his citation count reflects an emerging career, his methodology has implications for industrial automation and autonomous vehicle systems. Chang’s research is particularly valuable for students and engineers seeking efficient, data-driven methods for controller design in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1