SLAM, or simultaneous localization and mapping, is a computational method used by robots and other autonomous systems to create a map of an unknown environment while simultaneously keeping track of their location within that environment. This technique is crucial for navigation as it enables robots to operate in dynamic settings where GPS may be unavailable or unreliable, effectively integrating perception and control.
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