Robot Learning by Guided Self-Organization

Georg Martius, Ralf Der, J. Michael Herrmann

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.
Original languageEnglish
Title of host publicationGuided Self-Organization: Inception
EditorsMikhail Prokopenko
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Pages223-260
Number of pages38
ISBN (Print)978-3-642-53734-9
DOIs
Publication statusPublished - 2014

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