Robot Learning by Guided Self-Organization

Georg Martius; Ralf Der; J. Michael Herrmann

doi:10.1007/978-3-642-53734-9_8

Robot Learning by Guided Self-Organization

Georg Martius, Ralf Der, J. Michael Herrmann

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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 language	English
Title of host publication	Guided Self-Organization: Inception
Editors	Mikhail Prokopenko
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	223-260
Number of pages	38
ISBN (Print)	978-3-642-53734-9
DOIs	https://doi.org/10.1007/978-3-642-53734-9_8
Publication status	Published - 2014

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http://link.springer.com/chapter/10.1007%2F978-3-642-53734-9_8

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title = "Robot Learning by Guided Self-Organization",

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AU - Der, Ralf

AU - Herrmann, J. Michael

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M3 - Chapter

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BT - Guided Self-Organization: Inception

A2 - Prokopenko, Mikhail

PB - Springer

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ER -

Robot Learning by Guided Self-Organization

Abstract

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