Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/48296

TitleA software framework for the implementation of dynamic neural field control architectures for human-robot interaction
Author(s)Malheiro, Tiago Emanuel Quintas
Bicho, Estela
Machado, Toni
Louro, Luís
Monteiro, Sérgio
Vicente, Paulo
Erlhagen, Wolfram
Issue date29-Jun-2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/48296
ISBN9781509062331
DOI10.1109/ICARSC.2017.7964067
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

Files in This Item:
File Description SizeFormat 
DNF software framework HRI Coimbra 2017.pdf4,04 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID