SLAM (Simultaneous Localization and Mapping) and visual odometry are both techniques used in mobile robotics for navigation and environment understanding, but they serve different purposes. SLAM is a comprehensive approach that simultaneously builds a map of an unknown environment while keeping track of the robot’s location within it. Visual odometry, on the other hand, focuses on estimating the robot's motion by analyzing consecutive camera images, without necessarily building a map.

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