Reliable navigation, place recognition and object interaction require autonomous robots to maintain precise environmental maps. Semantic simultaneous localization and mapping (SLAM) adds meaning to a robot's map by representing landmarks as recognizable objects rather than only geometric points.
New probabilistic method improves how robots localize and map familiar objects
