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
Source code of our Hierarchical Matching Pursuit features is now available on the HMP project web site.
See the youtube RGBDvision channel for some of our research on Kinect style depth cameras.
Upcoming papers:
- Multipath Sparse Coding Using Hierarchical Matching Pursuit
L. Bo, X. Ren, and D. Fox. CVPR, 2013. - Compact RGBD Surface Models Based on Sparse Coding
M. Ruhnke, L. Bo, D. Fox, and W. Burgard. AAAI, 2013. - Attribute Based Object Identification
Y. Sun, L. Bo, and D. Fox. ICRA, 2013. - RGB-D Flow: Dense 3-D Motion Estimation Using Color and Depth
E. Herbst, X. Ren, and D. Fox. ICRA, 2013.
- Multipath Sparse Coding Using Hierarchical Matching Pursuit

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