In this lecture we will look at an approach to localising a robot using sensor data: Markov localisation. In particular we look at how a sensor model and an action model can be used to update a probabilistic estimate of the robot's position on a map.


These videos are recordings of lectures from the module Robot Programming run by The School of Computer Science at the University of Birmingham, UK.
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