The book "FastSLAM" offers a comprehensive analysis of a new family of algorithms for simultaneous localization and mapping (SLAM) in robotics. It addresses the challenges associated with creating a map of the environment by a mobile robot while simultaneously localizing itself relative to that map. The authors, Sebastian Thrun and Michael Montemerlo, highlight the advancements made in the robotics community, particularly regarding the application of particle filters to solve the SLAM problem. These algorithms have enabled robots to create maps of unprecedented size and accuracy and have been successfully deployed in dynamic environments, including person tracking. The book is a valuable resource for professionals and students interested in the latest developments in robotics and the associated algorithms.