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  Learn to Predict How Humans Manipulate Large-Sized Objects From Interactive Motions

Wan, W., Yang, L., Liu, L., Zhang, Z., Jia, R., Choi, Y.-K., et al. (2022). Learn to Predict How Humans Manipulate Large-Sized Objects From Interactive Motions. IEEE Robotics and Automation Letters, 7(2), 4702-4709. doi:10.1109/LRA.2022.3151614.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-2683-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-9CAE-2
Genre: Journal Article

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© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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 Creators:
Wan, Weilin1, Author
Yang, Lei1, Author
Liu, Lingjie2, Author           
Zhang, Zhuoying1, Author
Jia, Ruixing1, Author
Choi, Yi-King1, Author
Pan, Jia1, Author
Theobalt, Christian2, Author           
Komura, Taku1, Author
Wang, Wenping1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society, ou_3311330              

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Language(s): eng - English
 Dates: 20222022
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Wan2022
DOI: 10.1109/LRA.2022.3151614
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Project name : 4DRepLy
Grant ID : 770784
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: IEEE Robotics and Automation Letters
Source Genre: Journal
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Publ. Info: New York, NY : IEEE
Pages: - Volume / Issue: 7 (2) Sequence Number: - Start / End Page: 4702 - 4709 Identifier: ISSN: 2377-3766
CoNE: https://pure.mpg.de/cone/journals/resource/23773766