State estimation is a process used to determine the internal state of a system based on noisy and incomplete observations. This concept is crucial in robotics and autonomous systems, where it enables accurate navigation and control by synthesizing data from various sensors. By combining information from multiple sources, state estimation helps create a coherent picture of the environment and the system's position within it.
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