Hung‐Yi Lin

National Taiwan University, National University of Kaohsiung

Papers

Total Citations

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About

Hung-Yi Lin is a robotics researcher specializing in intelligent control systems for autonomous mobile robots, with a particular focus on sensor fusion, trajectory tracking, and dynamic obstacle avoidance. His work addresses critical challenges in nonholonomic wheeled mobile robot (NWMR) navigation, where precise real-time control is essential for practical deployment. In his most-cited paper (2020, 10 citations), Lin proposed a sensor fusion framework integrating 9-axis MEMS IMU data to enhance posture measurement and tracking accuracy for NWMRs, demonstrating a systematic design procedure for real-time trajectory control. His subsequent research (2023, 5 citations) advanced this foundation by incorporating T–S fuzzy model-based control for dynamic obstacle avoidance, enabling robots to adapt to changing environments without sacrificing tracking performance. Lin’s contributions bridge theoretical control methods with practical implementation, offering robust solutions for autonomous navigation in cluttered or unpredictable settings. His work is particularly relevant for students and researchers in robotics, control engineering, and autonomous systems, providing a clear pathway from sensor integration to intelligent decision-making in mobile robotics.