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  Towards Machine Learning of Motor Skills

Peters, J., Schaal, S., & Schölkopf, B. (2007). Towards Machine Learning of Motor Skills. In K. Berns, & T. Lucksch (Eds.), Autonome Mobile Systeme 2007: 20. Fachgespräch Kaiserslautern, 18./19. Oktober 2007 (pp. 138-144). Berlin, Germany: Springer.

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Urheber

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 Urheber:
Peters, J1, 2, Autor           
Schaal, S, Autor           
Schölkopf, B1, 2, Autor           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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Schlagwörter: -
 Zusammenfassung: Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal during the heydays of artificial intelligence research in the late 1980s, however, made it clear that an approach purely based on reasoning or human insights would not be able to model all the perceptuomotor tasks that a robot should fulfill. Instead, new hope was put in the growing wake of machine learning that promised fully adaptive control algorithms which learn both by observation and trial-and-error. However, to date, learning techniques have yet to fulfill this promise as only few methods manage to scale into the high-dimensional domains of manipulator robotics, or even the new upcoming trend of humanoid robotics, and usually scaling was only achieved in precisely pre-structured domains. In this paper, we investigate the ingredients for a general approach to motor skill learning in order to get one step closer towards human-like
performance. For doing so, we study two ma jor components for such an approach, i.e., firstly, a theoretically well-founded general approach to representing the required control structures for task representation and execution and, secondly, appropriate learning algorithms which can be applied in this setting.

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 Datum: 2007-10
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1007/978-3-540-74764-2_22
BibTex Citekey: 4720
 Art des Abschluß: -

Veranstaltung

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Titel: 20. Fachgespräch Autonome Mobile Systeme 2007
Veranstaltungsort: Kaiserslautern, Germany
Start-/Enddatum: 2007-10-18 - 2007-10-19

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Projektinformation

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Quelle 1

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Titel: Autonome Mobile Systeme 2007: 20. Fachgespräch Kaiserslautern, 18./19. Oktober 2007
Genre der Quelle: Konferenzband
 Urheber:
Berns, K, Herausgeber
Lucksch, T, Herausgeber
Affiliations:
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Ort, Verlag, Ausgabe: Berlin, Germany : Springer
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 138 - 144 Identifikator: ISBN: 978-3-540-74763-5

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Titel: Informatik aktuell
Genre der Quelle: Reihe
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: -