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[MUSIC]
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Welcome to week four of the Estimation and
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Learning module in
the Robotics specialization.
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This week, we'll look at localization
algorithms for robotics.
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First of all, we'll explore how robots
represent the pose, that is where they're
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located and how they can estimate this
over time using a localization algorithm.
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Then, we'll see how, given a map,
we can use the information in the map
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to help us build up this
registration of the pose to the map.
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Finally, we'll explore a canonical
algorithm called the particle filter which
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robots can use to estimate their
localization information using sensors.
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In summary, this week you will learn how
robots can keep track of where they are in
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space and time using these particle filter
algorithms to represent their uncertainty.1176
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