Exploration Efficiency

Exploration efficiency focuses on optimizing the speed and thoroughness of exploring unknown environments, primarily aiming to minimize travel distance and time while maximizing area coverage. Current research emphasizes leveraging advanced algorithms like deep reinforcement learning (including variations such as TD3 and MAPPO), heuristic optimization, and hierarchical planning strategies, often incorporating map prediction and efficient communication protocols for multi-robot scenarios. These improvements have significant implications for various fields, including robotics (autonomous vehicles, UAVs, and search and rescue), where efficient exploration directly translates to faster task completion and resource optimization.