Yi-Chung Lai

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Yi-Chung Lai is a robotics researcher specializing in autonomous navigation, intelligent control systems, and mobile robot design. His work focuses on developing practical, real-world solutions for autonomous vehicle parking and obstacle avoidance using advanced computational theories. His most cited paper (2014, 9 citations) presents a novel autonomous parking controller for car-like mobile robots, integrating fuzzy logic with the Analytic Hierarchy Process (AHP) to optimize parking maneuvers. The system, built around an Arduino microcontroller, demonstrates how fuzzy control can effectively manage DC motors, servo motors, and ultrasonic sensors for precise parking operations. In his earlier work (2012, 6 citations), Lai explored obstacle-avoidance control for omni-directional mobile robots using extension theory combined with fuzzy logic. This research addressed critical challenges in path deviation and motor control, showing how fuzzy theory can tune PWM signals for smoother navigation. Lai's contributions bridge theoretical control methods with practical robotic implementations, offering valuable insights for students and researchers working on autonomous systems, particularly in the areas of fuzzy control applications and mobile robot autonomy.