## Description of the videos for Lecture 13

wander.mov:  A simple example of a Markov chain, with state (X, Y, Theta).  The transition rule is to use a constant forward velocity and randomly increment Theta.

stationary-dist.mov:  Demonstrates the mixing time and stationary distribution of this same Markov chain.

particle-filter.mov: Demonstrates a particle filter for a robot with a range-only sensor and two wheel odometers, in a world with a single landmark.