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Deep n-Shot Transfer Learning for Tactile Material Classification with a Flexible Pressure-Sensitive Skin

Bäuml, Berthold and Tulbure, Andreea (2019) Deep n-Shot Transfer Learning for Tactile Material Classification with a Flexible Pressure-Sensitive Skin. In: 2019 International Conference on Robotics and Automation, ICRA 2019. Int. Conference on Robotics and Automation, Montreal. doi: 10.1109/ICRA.2019.8794021. ISBN 978-153866026-3. ISSN 10504729.

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Official URL: https://ieeexplore.ieee.org/abstract/document/8794021


Item URL in elib:https://elib.dlr.de/127663/
Document Type:Conference or Workshop Item (Poster)
Title:Deep n-Shot Transfer Learning for Tactile Material Classification with a Flexible Pressure-Sensitive Skin
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Bäuml, BertholdUNSPECIFIEDUNSPECIFIED
Tulbure, AndreeaUNSPECIFIEDUNSPECIFIED
Date:2019
Journal or Publication Title:2019 International Conference on Robotics and Automation, ICRA 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.1109/ICRA.2019.8794021
ISSN:10504729
ISBN:978-153866026-3
Status:Published
Keywords:robotics, deep learning, tactile sensing
Event Title:Int. Conference on Robotics and Automation
Event Location:Montreal
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Terrestrial Assistance Robotics (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Autonomy and Teleoperation
Deposited By: Bäuml, Berthold
Deposited On:11 Jun 2019 11:33
Last Modified:11 Mar 2022 14:28

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