Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/48296
Título: | A software framework for the implementation of dynamic neural field control architectures for human-robot interaction |
Autor(es): | Malheiro, Tiago Emanuel Quintas Bicho, Estela Machado, Toni Louro, Luís Monteiro, Sérgio Vicente, Paulo Erlhagen, Wolfram |
Data: | 29-Jun-2017 |
Editora: | Institute of Electrical and Electronics Engineers Inc. |
Revista: | IEEE International Conference on Autonomous Robot Systems and Competitions |
Resumo(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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/48296 |
ISBN: | 9781509062331 |
DOI: | 10.1109/ICARSC.2017.7964067 |
ISSN: | 2573-9360 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
DNF software framework HRI Coimbra 2017.pdf | 4,04 MB | Adobe PDF | Ver/Abrir |