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SUMMARY:RGB-D Perception in Robotics
DTSTART:20140319T110000
DTSTAMP:20260407T075053Z
UID:f3b7357440ea3809078a8170e37ace54dcd07d0d4c85a9bf2904481f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dieter Fox\, University of Washington\nRGB-D cameras pro
 vide per pixel color and depth information at high frame rate and resoluti
 on. Gaming and entertainment applications such as the Microsoft Kinect sys
 tem resulted in the mass production of RGB-D cameras at extremely low cost
 \, also making them available for a wide range of robotics applications. I
 n this talk\, I will provide an overview of depth camera research done in 
 the Robotics and State Estimation Lab over the last four years.  This wor
 k includes 3D mapping\, autonomous object modeling\, unsupervised feature 
 learning for object recognition\, and articulated object tracking.\nBio: D
 ieter Fox is a Professor in the Department of Computer Science & Engineeri
 ng at the University of Washington\, where he heads the UW Robotics and St
 ate Estimation Lab. From 2009 to 2011\, he was also Director of the Intel 
 Research Labs Seattle. He currently serves as the academic PI of the Intel
  Science and Technology Center for Pervasive Computing hosted at UW.  Die
 ter obtained his Ph.D. from the University of Bonn\, Germany.  Before goi
 ng to UW\, he spent two years as a postdoctoral researcher at the CMU Robo
 t Learning Lab.  Fox's research is in artificial intelligence\, with a fo
 cus on state estimation applied to robotics and activity recognition. He h
 as published over 150 technical papers and is co-author of the text book "
 Probabilistic Robotics".  He is a fellow of the AAAI and received several
  best paper awards at major robotics and AI conferences. He is an editor o
 f the IEEE Transactions on Robotics\, was program co-chair of the 2008 AAA
 I Conference on Artificial Intelligence\, and served as the program chair 
 of the 2013 Robotics: Science and Systems conference.\nAn NCCR Robotics ev
 ent 
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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