Probabilistic Localization and Mapping for Mobile Robots

The ability of a mobile robot to localize itself in the environment is a prerequisite for autonomous navigation.This is accomplished by using different sensors. Unfortunately all sensors’ measurements are noisy and suffer from errors. Thus it is essential to combine several sensors to reduce the errors and also compensate for the shortcomings of individual sensors by means of multi-sensor fusion and simultaneous localization and mapping (SLAM).