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  Using a Variable-Friction Robot Hand to Determine Proprioceptive Features for Object Classification During Within-Hand-Manipulation

Spiers, A. J., Morgan, A. S., Srinivasan, K., Calli, B., & Dollar, A. M. (2019). Using a Variable-Friction Robot Hand to Determine Proprioceptive Features for Object Classification During Within-Hand-Manipulation. IEEE Transactions on Haptics, 13(3), 600-610. doi:10.1109/TOH.2019.2958669.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-73F6-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-73F7-0
Genre: Journal Article

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 Creators:
Spiers, Adam J.1, Author           
Morgan, Andrew S.2, Author
Srinivasan, Krishnan2, Author
Calli, Berk2, Author
Dollar, Aaron M.2, Author
Affiliations:
1Dept. Haptic Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2301694              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Kuchenbecker
 Abstract: -

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Language(s): eng - English
 Dates: 2019-12-09
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: BibTex Citekey: Spiers20-TH-Variable
DOI: 10.1109/TOH.2019.2958669
 Degree: -

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Title: IEEE Transactions on Haptics
Source Genre: Journal
 Creator(s):
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Publ. Info: New York, NY : IEEE
Pages: - Volume / Issue: 13 (3) Sequence Number: - Start / End Page: 600 - 610 Identifier: ISSN: 2329-4051
CoNE: https://pure.mpg.de/cone/journals/resource/23294051