07. Particle Filter Approach to SLAM

We just saw that adding another dimension to a particle so that it will hold the robot pose, weight, and the map and then solving through MCL in its current form will fail. This is because the map is modeled with many variables resulting in high dimensionality. Thus, the particle filter approach to SLAM in this current form will scale exponentially and is doomed to fail.

Next, you'll be introduced to FastSLAM and you'll learn how SLAM problems can be solved under a custom particle filter approach.