Unmanned Ground Vehicle

Unmanned Ground Vehicles (UGVs) are robotic platforms designed for autonomous navigation and task completion in various environments, primarily focusing on efficient and safe operation. Current research emphasizes improving navigation robustness in challenging terrains (e.g., rubble, off-road) through advanced perception models (e.g., LiDAR-based localization, learned imitation control) and planning algorithms (e.g., model predictive control, reinforcement learning). These advancements are crucial for expanding UGV applications in diverse fields, including search and rescue, autonomous driving, and environmental monitoring, by enhancing their reliability and capabilities in complex scenarios. The development of standardized datasets and open-source tools further accelerates progress and facilitates broader community engagement.