Path Planning Method

Path planning methods aim to find optimal routes for robots or vehicles navigating complex environments, optimizing for factors like distance, time, safety, and energy consumption. Current research emphasizes developing algorithms that handle constraints (e.g., curvature, range, wind), incorporate environmental data (e.g., terrain, obstacles, human presence), and efficiently manage multi-agent systems. These advancements are crucial for applications ranging from autonomous driving and robotics to space exploration and search and rescue, improving efficiency, safety, and autonomy in diverse fields.