Space Exploration

Space exploration research is intensely focused on enhancing mission autonomy and efficiency, particularly for robotic missions involving resource utilization and complex environments. Current efforts leverage advanced algorithms like Markov Decision Processes and reinforcement learning to optimize mission planning, contingency handling, and robotic control, often incorporating machine learning models such as large language models and deep learning for improved decision-making and data analysis. These advancements are crucial for improving the reliability, cost-effectiveness, and scientific return of space missions, enabling more ambitious exploration and resource extraction endeavors.