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SLAM is the estimation of the pose of a robot and the map of the environment simultaneously.
The Extended Kalman Filter (EKF) is the core of the SLAM process. It is an estimation of non-linear processes or measurement relationships. It is responsible for updating where the robot thinks it is based on the Landmarks.
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