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