Learning Trajectory Distributions for Assisted Teleoperation and Path Planning

Ewerton, M.; Arenz, O.; Maeda, G.; Koert, D.; Kolev, Z.; Takahashi, M.; Peters, J

doi:10.3389/frobt.2019.00089

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Learning Trajectory Distributions for Assisted Teleoperation and Path Planning

Ewerton, M., Arenz, O., Maeda, G., Koert, D., Kolev, Z., Takahashi, M., et al. (2019). Learning Trajectory Distributions for Assisted Teleoperation and Path Planning. Frontiers in Robotics and AI, 6: 89. doi:10.3389/frobt.2019.00089.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-D2E2-D Version Permalink: https://hdl.handle.net/21.11116/0000-0006-D2E3-C

Genre: Journal Article

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Creators:
Ewerton, M.¹, Author
Arenz, O.¹, Author
Maeda, G.¹, Author
Koert, D.¹, Author
Kolev, Z.¹, Author
Takahashi, M.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: Published Online: 2019-09-24

Publication Status: Published online

Pages: 13

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Table of Contents: -

Rev. Type: Peer

Identifiers: DOI: 10.3389/frobt.2019.00089
BibTex Citekey: Ewertonetal19

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Title: Frontiers in Robotics and AI

Source Genre: Journal

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Publ. Info: Lausanne : Frontiers Media

Pages: - Volume / Issue: 6 Sequence Number: 89 Start / End Page: - Identifier: ISSN: 2296-9144
CoNE: https://pure.mpg.de/cone/journals/resource/22969144