Using Probabilistic Movement Primitives in Robotics

Paraschos, A.; Daniel, C.; Peters, J; Neumann, G.

doi:10.1007/s10514-017-9648-7

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Using Probabilistic Movement Primitives in Robotics

Paraschos, A., Daniel, C., Peters, J., & Neumann, G. (2018). Using Probabilistic Movement Primitives in Robotics. Autonomous Robots, 42(3), 529-551. doi:10.1007/s10514-017-9648-7.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-77D6-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-7450-F

Genre: Journal Article

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Creators:
Paraschos, A.¹, Author
Daniel, C.¹, Author
Peters, J², Author
Neumann, G.¹, 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: Published Online: 2017-07-15Date issued: 2018-03

Publication Status: Issued

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Identifiers: BibTex Citekey: ParDanPetNeu18
DOI: 10.1007/s10514-017-9648-7

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Title: Autonomous Robots

Source Genre: Journal

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Publ. Info: New York, NY : Springer US

Pages: - Volume / Issue: 42 (3) Sequence Number: - Start / End Page: 529 - 551 Identifier: ISSN: 0929-5593
CoNE: https://pure.mpg.de/cone/journals/resource/954925568789