Physically Grounded Language Understanding
A number of long-term goals in robotics – for example, using robots in household settings – require robots to interact with humans. In this project, we explore how robots can learn to correlate natural language to the physical world being sensed and manipulated, an area of research that falls under grounded language acquisition.
People
- Liefeng Bo
- Nicholas FitzGerald
- Dieter Fox
- Evan Herbst
- Cynthia Matuszek
- Luke Zettlemoyer
Publications
- A Joint Model of Language and Perception for Grounded Attribute Learning (2012)
- Learning to Parse Natural Language Commands to a Robot Control System (2012)
Research Groups
Last changed Tue, 2013-04-02 21:58


cs.