Do Androids Dream of Interactive Navigation?
Towards World-models for Interactive, Crowd-navigating Robots
dc.contributor.author
Dugas, Daniel
dc.contributor.supervisor
Siegwart, Roland Y.
dc.contributor.supervisor
How, Jonathan
dc.date.accessioned
2022-11-10T09:00:49Z
dc.date.available
2022-11-09T15:54:07Z
dc.date.available
2022-11-10T09:00:49Z
dc.date.issued
2022
dc.identifier.uri
http://hdl.handle.net/20.500.11850/580374
dc.identifier.doi
10.3929/ethz-b-000580374
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
robotics
en_US
dc.subject
Deep Learning
en_US
dc.subject
Model based learning
en_US
dc.subject
Crowd Navigation
en_US
dc.subject
Human-Robot Interaction
en_US
dc.title
Do Androids Dream of Interactive Navigation?
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2022-11-10
ethz.title.subtitle
Towards World-models for Interactive, Crowd-navigating Robots
en_US
ethz.size
129 p.
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.grant
CROWDBOT
en_US
ethz.identifier.diss
28599
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::03737 - Siegwart, Roland Y. / Siegwart, Roland Y.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::03737 - Siegwart, Roland Y. / Siegwart, Roland Y.
en_US
ethz.grant.agreementno
779942
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.date.deposited
2022-11-09T15:54:07Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-11-10T09:00:51Z
ethz.rosetta.lastUpdated
2023-02-07T07:36:21Z
ethz.rosetta.versionExported
true
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Publication type
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Doctoral Thesis [29163]