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  Machine Learning for Robotics: Learning Methods for Robot Motor Skills

Peters, J. (2008). Machine Learning for Robotics: Learning Methods for Robot Motor Skills. PhD Thesis, University of Southern California, Los Angeles, CA, USA.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C95B-2 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0003-2A3B-D
Genre: Hochschulschrift

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externe Referenz:
https://www.ias.informatik.tu-darmstadt.de/uploads/Research/Thesis/thesis_1.pdf (beliebiger Volltext)
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Urheber

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 Urheber:
Peters, J1, Autor           
Affiliations:
1External Organizations, ou_persistent22              

Inhalt

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Schlagwörter: -
 Zusammenfassung: Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. An important step towards this goal is to create robots that can learn to accomplish amultitude of different tasks triggered by environmental context and higher-level instruction. Early approaches to this goal during the heydays of artificial intelligence research in the late 1980s showed that handcrafted approaches do not suffice and that machine learning is needed. However, off the shelf learning techniques often do not scale into real-time or to the high-dimensional domains of manipulator and humanoid robotics. In this book, we investigate the foundations for a general approach to motor skilllearning that employs domain-specific machine learning methods. A theoretically well-founded general approach to representing the required control structures for task representation and executionis presented along with novel learning algorithms that can be applied in this setting. The resulting framework is shown to work well both in simulation and on real robots.

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Sprache(n):
 Datum: 2007-042008
 Publikationsstatus: Erschienen
 Seiten: 107
 Ort, Verlag, Ausgabe: Los Angeles, CA, USA : University of Southern California
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: BibTex Citekey: 5170
 Art des Abschluß: Doktorarbeit

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Quelle 1

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Titel: Machine Learning for Robotics: Learning Methods for Robot Motor Skills
Genre der Quelle: Buch
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Saarbrücken, Germany : VDM-Verlag
Seiten: 128 Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: ISBN: 978-3-639-02110-3