A software framework for the implementation of dynamic neural field control architectures for human-robot interaction
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 t...
| Autor principal: | |
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| Outros Autores: | , , , , , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2017
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/48296 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/48296 |