Front Steered

Front-steered vehicle control focuses on developing robust and efficient algorithms for navigating and maneuvering vehicles with steering at the front axle only. Current research emphasizes improving control stability and robustness in the face of uncertainties, using techniques like neural adaptive control and robust model predictive control, often within a hierarchical motion planning framework. These advancements are crucial for enhancing autonomous vehicle capabilities in complex and unpredictable environments, particularly for applications like lane keeping and autonomous navigation in challenging terrains. The resulting improvements in control precision and efficiency have significant implications for safety and performance in both autonomous and manually driven vehicles.