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Skills for physical artificial intelligence
File(s)
PAI_paper_as_accepted.pdf (488.88 KB)
Accepted version
OA Location
Author(s)
Miriyev, Aslan
Kovac, Mirko
Type
Journal Article
Abstract
Synthesizing robots via physical artificial intelligence is a multidisciplinary challenge for future robotics research. An education methodology is needed for researchers to develop a combination of skills in physical artificial intelligence.
Date Issued
2020-11-10
Date Acceptance
2020-11-01
Citation
Nature Machine Intelligence, 2020, 2 (11), pp.658-660
URI
URL
DOI
ISSN
2522-5839
Publisher
Nature Research
Start Page
658
End Page
660
Journal / Book Title
Nature Machine Intelligence
Volume
2
Issue
11
Copyright Statement
© 2020, Springer Nature Limited.
Sponsor
Engineering & Physical Science Research Council (E
Commission of the European Communities
The Royal Society
Engineering and Physical Sciences Research Council
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (E
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000594348200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/R026173/1
810321
RSWF/R1/180003
EP/R009953/1
TBC
EP/R511547/1
Subjects
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Interdisciplinary Applications
Computer Science
ROBOTS
DESIGN
Publication Status
Published
Date Publish Online
2020-11-10