Youngjin Kim, Ph.D

Postdoctoral Researcher | Control Theory | Robotics | Dynamic Systems | Autonomous Systems

Streamlined Autonomous Racing Control via Kinematic Differential Flatness

Overview : This project explores high-speed trajectory tracking for autonomous racing, focusing on accuracy at the limits of vehicle handling. We demonstrate a Differential Flatness–based control approach that achieves performance comparable to Nonlinear Model Predictive Control (NMPC), while cutting computation resource usage by about 50% on embedded hardware. This makes the method both efficient and practical for real-time racing applications.

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