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Social Robots That Understand Natural Language Instructions and Resolve Ambiguities
Dogan, Fethiye Irmak
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.
ORCID iD:
0000-0002-1733-7019
2021 (English)
In:
RSS Pioneers 2021 - Held in conjunction with the main Robotics: Science and Systems (RSS) Conference, 2021, 2021
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2021.
National Category
Robotics and automation Computer graphics and computer vision
Identifiers
URN:
urn:nbn:se:kth:diva-299444
OAI: oai:DiVA.org:kth-299444
DiVA, id:
diva2:1583612
Conference
Robotics: Science and Systems (RSS) Pioneers Workshop 2021
Note
QC 20210811
Available from:
2021-08-09
Created:
2021-08-09
Last updated:
2025-02-05
Bibliographically approved
Open Access in DiVA
fulltext
(262 kB)
291 downloads
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FULLTEXT01.pdf
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262 kB
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0bafc12ab48fd8d80f9cb66951bba8762557d7d5ff207c93a15f87e675d462784780738fe9a3913062f4f28927d4b99528a49e43b48a67d9528776bc30c79ca3
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fulltext
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Dogan, Fethiye Irmak
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Robotics, Perception and Learning, RPL
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Total: 292 downloads
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299444
Direct link
https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1583612
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apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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de-DE
en-GB
en-US
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nn-NO
nn-NB
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