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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: IEEE International Conference on Robotics and Automation ICRA. Int. Conference on Robotics and Automation, Montreal.

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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 AuthorsAuthors ORCID iD
Bäuml, BertholdUNSPECIFIEDUNSPECIFIED
Tulbure, AndreeaUNSPECIFIEDUNSPECIFIED
Date:2019
Journal or Publication Title:IEEE International Conference on Robotics and Automation ICRA
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
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 Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben Terrestrische Assistenz-Robotik
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:31 Jul 2019 20:25

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