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  Learning attribute grammars for movement primitive sequencing

Lioutikov, R., Maeda, G., Veiga, F., Kersting, K., & Peters, J. (2020). Learning attribute grammars for movement primitive sequencing. The International Journal of Robotics Research, 39(1), 21-38. doi:10.1177/0278364919868279.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-9AB0-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-9AB1-3
Genre: Journal Article

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 Creators:
Lioutikov, Rudolf1, Author
Maeda, Guilherme1, Author
Veiga, Filipe1, Author
Kersting, Kristian1, Author
Peters, Jan2, 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
 Abstract: -

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Language(s): eng - English
 Dates: 2019-11-172020-01-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1177/0278364919868279
 Degree: -

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Title: The International Journal of Robotics Research
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Cambridge, MA : Sage Publications, Inc.
Pages: - Volume / Issue: 39 (1) Sequence Number: - Start / End Page: 21 - 38 Identifier: ISSN: 0278-3649
CoNE: https://pure.mpg.de/cone/journals/resource/954925506289