Yu‐Lin Song

Papers

Total Citations

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About

Yu-Lin Song is a leading researcher in robotics and intelligent control systems, with a primary focus on sensor fusion and autonomous navigation for mobile robots. His most cited work, "A Sensor Fusion Based Nonholonomic Wheeled Mobile Robot for Tracking Control" (2020, 10 citations), presents a groundbreaking design for real-time trajectory tracking in nonholonomic wheeled mobile robots (NWMR). By integrating a 9-axis MEMS inertial measurement unit (IMU) for posture measurement with advanced sensor fusion techniques, Song significantly enhanced the accuracy and reliability of robot positioning and control. This contribution has been pivotal in advancing autonomous systems for applications ranging from industrial automation to service robotics. His research bridges theoretical control algorithms with practical implementation, demonstrating a profound impact on the field of mechatronics. Song's work continues to inspire innovations in real-time tracking and sensor integration, solidifying his reputation as a key contributor to modern robotics.