Top Picks
-
RI Seminar: Dieter Fox: Grounding Natural Language in Robot Control Systems
YouTube 1y ago
-
Star Wars Filibuster - Animation
Top Picks 17m ago
-
Reggie Watts -- Reggie Rolled - YouTube Comedy Week
Top Picks 1h ago
-
Jiu Jitsu - Triangle Choke Proposal
Top Picks 1h ago
-
Honest Trailers - Fast Five
Top Picks 1h ago
-
Quadruple X-Flaring Sunspot Is At It Again | Video
Top Picks 2h ago
-
Just like a Woman TRAILER 1 (2013) - Sienna Miller Movie HD
Top Picks 3h ago
-
Spiderman filming in chinatown manhattan. Took a break to play basketball with loca kids. 5-18-13
Top Picks 3h ago
-
Oklahoma tornado survivor finds dog buried alive under rubble
Top Picks 3h ago
-
Nike Presents: Roger Federer in "Fly Swatter"
Top Picks 3h ago
-
Life On The Road | Learn Guitar With David Brent
Top Picks 4h ago
-
A grizzly Ate My GoPro!!! GoPro HD
Top Picks 4h ago
-
Testing the "Lulz Liberator," a $25 3D-printed handgun
Top Picks 4h ago
-
Moore Oklahoma Tornado 5/20/13
Top Picks 4h ago
-
The History of YouTube by The Gregory Brothers (YouTube Comedy Week)
Top Picks 5h ago
-
Apple Avoided Taxes on Overseas Billions, Senate Panel Finds
Top Picks 5h ago
Tags
- technology
- science
- artificial intelligence
- books
- engineering
- robotics
- intel
- national science foundation
- computers
- university of washington
- university of bonn
- universities
- computer science
- control systems
- natural language processing
- biography
- department of computer science
- i will
- going to
- science and technology
- language processing
- he is
- pervasive computing
- dieter fox
Description
Dieter Fox Associate Professor, University of Washington April 13, 2012 Grounding Natural Language in Robot Control Systems Abstract Robots are becoming more and more capable at reasoning about people, objects, and activities in their environments. The ability to extract high-level semantic information from sensor data provides new opportunities for human robot interaction. One such opportunity is to explore interacting with robots via natural language. In this talk I will present our preliminary work toward enabling robots to interpret, or ground, natural language commands in robot control systems. We build on techniques developed by the semantic natural language processing community on learning grammars that parse natural language input to logic-based semantic meaning. I will demonstrate early results in two application domains: First, learning to follow natural language directions through indoor environments; and, second, learning to ground (simple) object attributes via weakly supervised training. Joint work with Luke Zettlemoyer, Cynthia Matuszek, Nicolas Fitzgerald, and Liefeng Bo. Support provided by Intel ISTC-PC, NSF, and ARL, and ONR. Speaker Biography Dieter Fox is an Associate Professor in the Department of Computer Science & Engineering at the University of Washington, where he heads the UW Robotics and State 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. Dieter obtained his Ph.D. from the University of Bonn, Germany. Before going to UW, he spent two years as a postdoctoral researcher at the CMU Robot Learning Lab. Fox's research is in artificial intelligence, with a focus on state estimation applied to robotics and activity recognition. He has published over 100 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 also an editor of the IEEE Transactions on Robotics and was program co-chair of the 2008 AAAI Conference on Artificial Intelligence.
