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...
Main Author: | |
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Other Authors: | , , , , , |
Format: | conferencePaper |
Language: | eng |
Published: |
2017
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/48296 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/48296 |