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  Learning Riemannian Manifolds for Geodesic Motion Skills

Beik-Mohammadi, H., Hauberg, S., Arvanitidis, G., Neumann, G., & Rozo, L. (2021). Learning Riemannian Manifolds for Geodesic Motion Skills. In Robotics: Science and Systems XVII. RSS Foundation. doi:10.15607/RSS.2021.XVII.082.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-E5B9-E Version Permalink: https://hdl.handle.net/21.11116/0000-000F-E5BA-D
Genre: Conference Paper

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Locator:
https://www.roboticsproceedings.org/rss17/p082.html (Publisher version)
Description:
-
OA-Status:
Not specified
Locator:
https://doi.org/10.48550/arXiv.2106.04315 (Preprint)
Description:
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OA-Status:
Green

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 Creators:
Beik-Mohammadi, Hadi 1, Author
Hauberg, Søren 1, Author
Arvanitidis, Georgios2, Author           
Neumann, Gerhard 1, Author
Rozo, Leonel 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
 Abstract: -

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Language(s): eng - English
 Dates: 2021-072021
 Publication Status: Issued
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.15607/RSS.2021.XVII.082
arXiv: 2106.04315
BibTex Citekey: BeikMohammadietal2021
 Degree: -

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Title: Robotics: Science and Systems 2021 (RSS 2021)
Place of Event: Online
Start-/End Date: 2021-07-12 - 2021-07-16

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Title: Robotics: Science and Systems XVII
  Abbreviation : RSS XVII
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: RSS Foundation
Pages: - Volume / Issue: 17 Sequence Number: 82 Start / End Page: - Identifier: URI: https://www.roboticsproceedings.org/rss17/index.html