Simultaneous Localization and Mapping (SLAM)

SLAM solves the chicken-and-egg problem of mapping an unknown environment while simultaneously determining the robot's location within it. Uses probabilistic methods, feature extraction, loop closure detection, and optimization techniques to maintain consistent maps and positions.

Autonomous vehicles, Indoor mapping robots, Vacuum robots, Exploration drones