November 2, 2007, San Diego, CA, USA
Call for papers:(click here for PDF version)
One of the basic robot skills is goal-directed navigation, including localization, path planning and path following. Traditionally mapping and localization has focused on metric environment representations. The environment models were typically described in terms of simple geometric features, such as points, lines and planes. However, it is hard to communicate with a robot in terms of these types of geometric primitives. For natural communication the robot should have an appropriate space representation enabling communication in terms of semantic concepts such as objects, rooms etc.
The aim of the workshop is to bring together researchers that work on space representations appropriate for humans-robot interaction and on development of algorithms for learning various semantic concepts/categories from the robot sensor data.
Suggested topics include, but are not limited to the following areas:
Planned invited speakers:
Antonio Torralba, MIT CSAIL, Cambridge, USA.
Laurent Itti, University of Southern California,USA
Dieter Fox, University of Washington, USA