SLAM (Simultaneous Localization and Mapping) enables robots to navigate unknown environments without pre-existing maps.

SLAM algorithms use sensor data (LIDAR, cameras, IMU) to build a map of an unknown environment while simultaneously tracking the robot's location within it. Critical for autonomous vehicles, drones, and service robots. Combines probabilistic filtering, optimization, and machine learning. Important for robotics navigation questions.