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  Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks

Maeda, G., Neumann, G., Ewerton, M., Lioutikov, L., Kroemer, O., & Peters, J. (2017). Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks. Autonomous Robots, 41(3), 593-612. doi:10.1007/s10514-016-9556-2.

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 Creators:
Maeda, G.1, Author
Neumann, G.1, Author
Ewerton, M.1, Author
Lioutikov, L.1, Author
Kroemer, O.1, Author
Peters, J2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Dept. 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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Language(s): eng - English
 Dates: 2016-03-102017-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: gjm_2016_AURO_c
DOI: 10.1007/s10514-016-9556-2
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Title: Autonomous Robots
Source Genre: Journal
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Publ. Info: Dordrecht, New York, NY : Kluwer Academic Publishers, Springer
Pages: - Volume / Issue: 41 (3) Sequence Number: - Start / End Page: 593 - 612 Identifier: ISSN: 0929-5593
CoNE: https://pure.mpg.de/cone/journals/resource/954925568789