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  Learning to Predict Phases of Manipulation Tasks as Hidden States

Kroemer, O., van Hoof, H., Neumann, G., & Peters, J. (2014). Learning to Predict Phases of Manipulation Tasks as Hidden States. In 2014 IEEE International Conference on Robotics and Automation (ICRA 2014) (pp. 4009-4014). Piscataway, NJ, USA: IEEE. doi:10.1109/ICRA.2014.6907441.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0025-B659-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-7F33-5
Genre: Conference Paper

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 Creators:
Kroemer, O.1, Author
van Hoof, H., Author
Neumann, G., Author
Peters, J.1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
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 Dates: 2014
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: KroemervNP2014
DOI: 10.1109/ICRA.2014.6907441
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Title: IEEE International Conference on Robotics and Automation (ICRA 2014))
Place of Event: Hong Kong, China
Start-/End Date: 2014-05-31 - 2014-06-07

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Title: 2014 IEEE International Conference on Robotics and Automation (ICRA 2014)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4009 - 4014 Identifier: ISBN: 978-1-4799-3684-7