Ting‐Yu Chang

Papers

Total Citations

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About

Dr. Ting‑Yu Chang is a leading researcher in intelligent robotics and control systems, with a focus on the optimization of autonomous mobile robots through hybrid artificial intelligence. His most cited work, "Genetic Algorithm Based Parameters Tuning for the Hybrid Intelligent Controller Design for the Manipulation of Mobile Robot" (2019, 13 citations), introduces a novel approach that combines genetic algorithms with hybrid intelligent controllers to fine‑tune robotic performance. By leveraging MATLAB Simulink simulations, Dr. Chang demonstrates how automated parameter tuning can significantly enhance the precision and adaptability of mobile robots in industrial automation. This contribution addresses a critical bottleneck in robotics—the manual, time‑consuming calibration of control parameters—by offering a data‑driven, evolutionary solution. His research bridges the gap between theoretical optimization and practical deployment, making mobile robots more efficient and reliable in real‑world manufacturing environments. Dr. Chang’s work is foundational for students and engineers seeking to integrate genetic algorithms into control system design, and his findings continue to influence advancements in autonomous navigation and intelligent manipulation.