Lunar Rover

Lunar rover research focuses on enabling autonomous navigation and exploration of the Moon's challenging terrain, primarily for scientific missions and resource utilization. Current efforts concentrate on improving path planning algorithms (like robust artificial potential fields), developing reliable global localization methods using crater detection and matching (often employing particle filtering), and enhancing onboard autonomy through AI-powered vision systems (including convolutional neural networks and attention mechanisms) for obstacle avoidance and task execution. These advancements are crucial for extending the operational range and capabilities of lunar rovers, enabling more ambitious and efficient exploration missions.