2014 | OriginalPaper | Buchkapitel
Robot Learning by Guided Self-Organization
verfasst von : Georg Martius, Ralf Der, J. Michael Herrmann
Erschienen in: Guided Self-Organization: Inception
Verlag: Springer Berlin Heidelberg
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Self-organizing processes are not only crucial for the development of living beings, but can also spur new developments in robotics, e. g. to increase fault tolerance and enhance flexibility, provided that the prescribed goals can be realized at the same time. This combination of an externally specified objective and autonomous exploratory behavior is very interesting for practical applications of robot learning. In this chapter, we will present several forms of guided self-organization in robots based on homeokinesis.