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Effective and natural human-robot interaction requires multidisciplinary research
Kragic, Danica
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.
ORCID iD:
0000-0003-2965-2953
Sandamirskaya, Yulia
Intel Corp, Intel Labs, Neuromorph Comp Lab, Munich, Germany..
2021 (English)
In:
SCIENCE ROBOTICS, ISSN 2470-9476, Vol. 6, no 58, article id eabl7022
Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
American Association for the Advancement of Science (AAAS) , 2021. Vol. 6, no 58, article id eabl7022
National Category
Robotics and automation Human Computer Interaction
Identifiers
URN:
urn:nbn:se:kth:diva-304557
DOI:
10.1126/scirobotics.abl7022
ISI:
000708526700008
PubMedID:
34586838
Scopus ID:
2-s2.0-85117044459
OAI: oai:DiVA.org:kth-304557
DiVA, id:
diva2:1609467
Note
QC 20211108
Available from:
2021-11-08
Created:
2021-11-08
Last updated:
2025-02-05
Bibliographically approved
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Kragic, Danica
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Robotics, Perception and Learning, RPL
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
en-US
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nn-NB
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