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More and more robots find their way into environments where their primary purpose is to interact with humans to help and solve a variety of service-oriented tasks. Particularly if such a service robot is mobile, it needs to have an understanding of the spatial and functional properties of the environment in which it operates. The problem we address is how a robot can acquire an understanding of the environment so that it can autonomously operate in the environment, and talk about it with a human.

One key issue in the Explorer scenario is how to establish a correspondence between how a human perceives spatial and functional aspects of an environment, and what the robot autonomously learns as a map. Successful interaction between human and robot relies on bridging the gap between the two representations.


Last modified: 9.1.2009 10:59:00