Exploration Planner

Exploration planners are algorithms designed to efficiently guide robots through unknown environments, maximizing coverage while minimizing time and energy consumption. Current research focuses on improving efficiency through hierarchical planning, graph-based methods that leverage connectivity information, and incorporating risk assessment and dynamic obstacle avoidance. These advancements are crucial for applications ranging from search and rescue to planetary exploration, enabling more effective autonomous operations in complex and unpredictable settings.