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dc.contributor.author
Kósa, Gábor
dc.contributor.author
De Lorenzo, Danilo
dc.contributor.author
De Momi, Elena
dc.contributor.author
Székely, Gábor
dc.contributor.author
Ferrigno, Giancarlo
dc.date.accessioned
2021-07-28T12:33:53Z
dc.date.available
2017-06-09T18:40:18Z
dc.date.available
2018-09-12T12:22:00Z
dc.date.available
2021-07-28T12:33:53Z
dc.date.issued
2011-01
dc.identifier.isbn
978-3-902661-93-7
en_US
dc.identifier.issn
1474-6670
dc.identifier.other
10.3182/20110828-6-IT-1002.01840
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/44913
dc.description.abstract
Several brain pathologies could take advantage of local delivery of drugs or electrical stimulation for the treatment of tumors or neurological disorders. A self propelling microdevice could reach remote locations and is available for further precision positioning in time, also after months. In this paper we present a study for the locomotion of such a micro-device. The proposed device is built of piezoelectric actuators that create an undulating motion which is capable of propelling the micro-robot in the brain parenchyma. In order to estimate the feasibility of such device we measured the resonant frequencies of an up-scaled actuator in air and brain tissue mimicking gel and found that it can actually burrow into the tissue. An optimally designed actuator is able to produce a maximal propulsive velocity of 25 mm/s and propulsive force of 8.7 mN. Relying on a realistic power consumption of 10 mW will reduce the performance to 1 mm/s and 0.34 mN.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.title
Robotic burrowing in brain parenchyma tissue
en_US
dc.type
Conference Paper
dc.date.published
2016-04-25
ethz.book.title
Proceedings of the 18th World Congress
en_US
ethz.journal.title
IFAC Proceedings Volumes
ethz.journal.volume
44
en_US
ethz.journal.issue
1
en_US
ethz.pages.start
14307
en_US
ethz.pages.end
14311
en_US
ethz.event
18th IFAC World Congress (IFAC 2011)
en_US
ethz.event.location
Milan, Italy
en_US
ethz.event.date
August 28 - September 2, 2011
en_US
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::03633 - Székely, Gábor (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::03633 - Székely, Gábor (emeritus)
ethz.date.deposited
2017-06-09T18:40:23Z
ethz.source
ECIT
ethz.identifier.importid
imp59364ee28d0a351849
ethz.ecitpid
pub:73962
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-31T13:58:03Z
ethz.rosetta.lastUpdated
2020-02-15T15:00:03Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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