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  Improving Local Trajectory Optimisation using Probabilistic Movement Primitives

Shyam, R. A., Lightbody, P., Das, G., Liu, P., Gomez-Gonzales, S., & Neumann, G. (2019). Improving Local Trajectory Optimisation using Probabilistic Movement Primitives. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) (pp. 2666-2671). Piscataway, NJ: IEEE. doi:10.1109/IROS40897.2019.8967980.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-D7B2-E Version Permalink: https://hdl.handle.net/21.11116/0000-0006-D7B3-D
Genre: Conference Paper

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 Creators:
Shyam, R. A.1, Author
Lightbody, P.1, Author
Das, G.1, Author
Liu, P.1, Author
Gomez-Gonzales, S.2, Author           
Neumann, G.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497646              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2020-01-272019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/IROS40897.2019.8967980
BibTex Citekey: Shyametal_iros2019
 Degree: -

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Title: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)
Place of Event: Macau
Start-/End Date: 2019-11-03 - 2019-11-08

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Title: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2666 - 2671 Identifier: ISBN: 978-1-7281-4004-9
ISBN: 978-1-7281-4003-2
ISBN: 978-1-7281-4005-6
ISSN: 2153-0866
ISSN: 2153-0858
DOI: 10.1109/IROS40897.2019