Robotics and State Estimation Lab
The UW Robotics and State Estimation (RSE) Lab was established by Dieter Fox in 2001. We are interested in the development of embedded computing systems that interact with their environment in an intelligent way. To investigate such systems, we focus on probabilistic methods and their application to mobile robotics and activity recognition. We develop rich yet efficient methods for representing uncertainty and for reasoning under uncertainty. These methods are evaluated using problems in mobile robot localization, map building, collaboration, and manipulation. Furthermore, we investigate state estimation and machine learning in areas such as object recognition, human robot interaction, and human activity recognition.
News and links
Congratulations to Marc Deisenroth for receiving the ICRA 2014 Cognitive Robotics Best Paper Award for his paper Multi-Task Policy Search for Robotics.
Kevin Lai's paper Unsupervised Feature Learning for 3D Scene Labeling was a finalist for the ICRA 2014 Best Vision Paper Award, congratulations!!
Source code of our Hierarchical Matching Pursuit features is now available on the HMP project web site.