GMapping

GMapping is an algorithm used in robotics for creating a map of an environment while simultaneously keeping track of the robot's location within that map, a process known as simultaneous localization and mapping (SLAM). It uses sensor data, commonly from lasers, to identify features in the environment and builds a 2D map. As the robot moves, GMapping adjusts the map based on new information and corrects any discrepancies in its location, allowing efficient navigation and exploration in unfamiliar surroundings. This technology is vital for applications in autonomous vehicles and robotic vacuum cleaners, among other robotic systems.