Region Based SLAM-Aware Exploration: Efficient and Robust Autonomous Mapping Strategy That Can Scale
The strategy partitions unknown environments into discrete regions to improve autonomous mapping efficiency and robustness. It incrementally explores each region by stabilizing it through discovery and refinement phases, using planners like ALC and PGS. This approach reduces exploration time, minimizes map data, and significantly lowers the computational cost of pose graph optimization.