Simultaneous Localization and Mapping (SLAM) is a process used by robots and other autonomous systems to create a map of an unknown environment while simultaneously keeping track of their own location within that environment. This technology is essential for navigation, enabling robots to understand their surroundings and make decisions based on the spatial information gathered. SLAM combines sensor data with algorithms to continually update both the map and the position of the robot, allowing for efficient movement and exploration.
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