The Robotics and State Estimation Lab at the University of Washington is "interested in the development of embedded computing systems that interact autonomously with their environment in an intelligent way." The lab investigates probabilistic methods and their application to mobile robotics in order to "develop rich yet efficient methods for representing uncertainty and for reasoning under uncertainty." They evaluate these methods through application in mobile robot localization, map building, exploration, and multi-robot collaboration. Their work includes an evaluation of the CentiBots Project (see MET Report, May 9, 2003), which is posted here. Visitors are invited to view several animations illustrating particle filters and their extensions used in the study of state estimation and learning in areas such as people tracking and high-level activity recognition. Descriptions and video footage provide a nice overview of the lab's projects, such as RoboCup, Ubiquitous computing, Mapping and Exploration, and Museum Tour-guide Robots. Publications, which include reports, articles, book chapters, and workshop presentations, can be viewed and downloaded from the project pages or within the Publications section.