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dc.contributor.authorFox, Dieter
dc.descriptionPresented on September 21, 2016 at 12:00 p.m. in the TSRB Building, Banquet Hall.en_US
dc.descriptionDieter Fox is a professor in the Department of Computer Science & Engineering at the University of Washington, where he heads the UW Robotics and State Estimation Lab. Fox’s research is in robotics and artificial intelligence with a focus on state estimation and perception applied to various problems in robotics and activity recognition. He has published more than 150 technical papers and is the co-author of the textbook “Probabilistic Robotics.”en_US
dc.descriptionRuntime: 58:49 minutesen_US
dc.description.abstractTo interact and collaborate with people in a natural way, robots must be able to recognize objects in their environments, accurately track the actions of humans, and estimate their goals and intentions. The last years have seen strong improvements in robotic capabilities to model, detect, and track non-rigid objects such as human bodies, hands, and their own manipulators. These recent developments can serve as the basis for providing robots with an unprecedented understanding of their environment and the people therein. I will use examples from our research on modeling, detecting, and tracking articulated objects to highlight some of these advances and discuss open problems that still need to be addressed.en_US
dc.format.extent00:00 minutes
dc.relation.ispartofseriesIRIM Seminar Seriesen_US
dc.subjectDepth camerasen_US
dc.titleToward Robots that Understand People and Their Environmenten_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Robotics and Intelligent Machineen_US
dc.contributor.corporatenameUniversity of Washington. Dept. of Computer Science and Engineeringen_US

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  • IRIM Seminar Series [116]
    Each semester a core seminar series is announced featuring guest speakers from around the world and from varying backgrounds in robotics.

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