Yu-Ting Ye

Papers

Total Citations

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About

Yu-Ting Ye is a robotics researcher whose work centers on intelligent control systems for mobile robots, with a particular emphasis on fuzzy logic-based navigation and obstacle avoidance. In their most-cited paper, "Fuzzy obstacle avoidance control of a two-wheeled mobile robot" (2015), Ye proposed an effective approach that guides a mobile robot to its target while seamlessly avoiding obstacles in its environment. The study introduced a control model for the robot and detailed a sensor module setup for environmental detection, demonstrating how fuzzy logic can handle the uncertainty and imprecision inherent in real-world navigation. This contribution, which has garnered 7 citations, provides a foundational framework for developing more autonomous and safer mobile robots. Ye’s work is notable for bridging theoretical control methods with practical implementation, offering insights that are valuable for students and researchers in robotics, automation, and intelligent systems. Their research continues to influence the design of adaptive, collision-free navigation strategies for two-wheeled platforms.