Planetary Exploration

Planetary exploration research focuses on developing autonomous robotic systems capable of traversing challenging extraterrestrial environments and conducting scientific investigations. Current efforts concentrate on improving robot locomotion (e.g., legged robots, active suspension systems), enhancing autonomous navigation using techniques like deep reinforcement learning and federated multi-agent mapping, and refining sample collection and analysis methods through computer vision and machine learning. These advancements are crucial for expanding the scope and efficiency of planetary missions, enabling more ambitious scientific goals and potentially paving the way for future human exploration.