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Learning from Demonstration - Cube into Cup


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Title Learning from Demonstration - Cube into Cup
Title of Series Robotics - Hochschule Ravensburg-Weingarten
Author Ertel, Wolfgang
Contributors The Institute for Artificial Intelligence (IKI)
Autonome mobile Serviceroboter Standort Ravensburg-Weingarten, Zentrum für angewandte Forschung an Fachhochschulen
Schneider, Markus
License CC Attribution - NonCommercial - NoDerivatives 3.0 Germany:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
DOI 10.5446/30626
Publisher Hochschule Ravensburg-Weingarten
Release Date 2010
Language English

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Subject Area Engineering
Abstract Robot Learning by Demonstration with Local Gaussian Process Regression. In Proc. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipeh, Taiwan, 2010. Learning from Demonstration using a Katana robotic manipulator. Note that in each demonstration the objects' positions change. Learning means to generalize from these training samples to an arbitrary new situation where all the objects can be located at different positions. In the reproduction, the manipulator's trajectory is computed based on the constraints extracted from the recorded demonstrations. Unlike in classical teach-in approaches, this method is able to deal with changing objects' positions.


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