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Soft Computing

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01.09.2015 | Focus

A Soft-Computing basis for robots’ cognitive autonomous learning

verfasst von: Dominik M. Ramík, Kurosh Madani, Christophe Sabourin

Erschienen in: Soft Computing | Ausgabe 9/2015

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Abstract

The present work deals with development of a Soft-Computing-based intelligent system allowing to discover autonomously the surrounding world and to learn new knowledge about it by semantically interacting with human. The learning is accomplished by observation and by interaction with a human. We provide experimental validation of the proposed concept using as well simulated environment as implementing the approach on a humanoid robot in a real-world environment. We show, that our approach allows a humanoid robot to learn without negative input and from small number of samples.

Vorheriger Artikel Special issue on advances in computational intelligence and machine learning (IWANN 2013)

Nächster Artikel Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines

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Titel: A Soft-Computing basis for robots’ cognitive autonomous learning
verfasst von: Dominik M. Ramík
Kurosh Madani
Christophe Sabourin
Publikationsdatum: 01.09.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 9/2015
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-014-1495-2

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