This paper describes the first layer of a system for human-robot communication. The goal is a robot that can learn about objects from many different teachers, who require many different levels of detail to describe them. The resulting system consists of robot sensing, actuating and machine learning methods that keep as flexible as possible the kinds of objects and properties that can be learned.
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