Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/48296
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Malheiro, Tiago Emanuel Quintas | por |
dc.contributor.author | Bicho, Estela | por |
dc.contributor.author | Machado, Toni | por |
dc.contributor.author | Louro, Luís | por |
dc.contributor.author | Monteiro, Sérgio | por |
dc.contributor.author | Vicente, Paulo | por |
dc.contributor.author | Erlhagen, Wolfram | por |
dc.date.accessioned | 2017-12-13T14:25:45Z | - |
dc.date.available | 2017-12-13T14:25:45Z | - |
dc.date.issued | 2017-06-29 | - |
dc.identifier.isbn | 9781509062331 | por |
dc.identifier.issn | 2573-9360 | por |
dc.identifier.uri | https://hdl.handle.net/1822/48296 | - |
dc.description.abstract | Useful and efficient human-robot interaction in joint tasks requires the design of a cognitive control architecture that endows robots with crucial cognitive and social capabilities such as intention recognition and complementary action selection. Herein, we present a software framework that eases the design and implementation of Dynamic Neural Field (DNF) cognitive architectures for human-robot joint tasks. We provide a graphical user interface to draw instances of the robot's control architecture. In addition, it allows to simulate, inspect and parametrize them in real-time. The framework eases parameter tuning by allowing changes on-the-fly and by connecting the cognitive architecture with simulated or real robots. Using the case study of an anthropomorphic robot providing assistance to a disabled person during a meal scenario, we illustrate the applicability of the framework. | por |
dc.description.sponsorship | The work was funded by Project NETT: Neural Engineering Transformative Technologies, EU-FP7 ITN (nr.289146), and by FCT - Fundação para a Ciência e Tecnologia, through the Phd and Posdoc Grants (SFRH/BD/81334/2011 and SFRH/BPD/71874/2010 respectively, financed by POPH-QREN-Type 4.1- Advanced Training, co-funded by the European Social Fund and national funds from MEC), and Project Scope: UID/CEC/00319/2013 together with COMPETE: POCI-01-0145-FEDER007043. | - |
dc.language.iso | eng | por |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | por |
dc.relation | info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F81334%2F2011/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F71874%2F2010/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/289146/EU | - |
dc.rights | openAccess | por |
dc.title | A software framework for the implementation of dynamic neural field control architectures for human-robot interaction | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationConferenceDate | 2017 | por |
sdum.event.type | conference | por |
oaire.citationStartPage | 146 | por |
oaire.citationEndPage | 152 | por |
dc.date.updated | 2017-12-10T11:05:36Z | - |
dc.identifier.doi | 10.1109/ICARSC.2017.7964067 | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | por |
sdum.export.identifier | 1166 | - |
sdum.journal | IEEE International Conference on Autonomous Robot Systems and Competitions | por |
sdum.conferencePublication | 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2017 | por |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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DNF software framework HRI Coimbra 2017.pdf | 4,04 MB | Adobe PDF | Ver/Abrir |