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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Learning Manipulation Tasks by Demonstration
verfasst von : Jürgen Sturm
Erschienen in: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
Verlag: Springer Berlin Heidelberg
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To accomplish a particular manipulation task, a robot needs a detailed description of how to execute it. However, it is not possible to specify all potential tasks of a manipulation robot beforehand. For example, robotic assistants operating in industrial contexts are frequently faced with changes in the production process. As a consequence, novel manipulation skills become relevant on a regular basis. For this reason, there is a need for solutions that enable normal users to quickly and intuitively teach new manipulation skills to a robot.