Mission Planning

Mission planning optimizes the sequence and execution of tasks for autonomous systems, aiming to achieve mission objectives efficiently and reliably. Current research emphasizes developing advanced algorithms, such as reinforcement learning (including Proximal Policy Optimization), genetic algorithms, and A*, to handle complex constraints and multiple objectives (e.g., time, energy, risk). These methods are applied across diverse domains, including space debris removal, autonomous vehicle navigation, and UAV operations for tasks like battery management and environmental monitoring, improving efficiency and safety in these applications. The resulting improvements in planning efficiency and robustness have significant implications for various fields, from space exploration to disaster response.