Cargando…
Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human–Robot Interaction
To work cooperatively with humans by using language, robots must not only acquire a mapping between language and their behavior but also autonomously utilize the mapping in appropriate contexts of interactive tasks online. To this end, we propose a novel learning method linking language to robot beh...
Autores principales: | Yamada, Tatsuro, Murata, Shingo, Arie, Hiroaki, Ogata, Tetsuya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946379/ https://www.ncbi.nlm.nih.gov/pubmed/27471463 http://dx.doi.org/10.3389/fnbot.2016.00005 |
Ejemplares similares
-
Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions
por: Yamada, Tatsuro, et al.
Publicado: (2017) -
Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks
por: Nakajo, Ryoichi, et al.
Publicado: (2018) -
Integrating Verbal and Nonverbal Communication in a Dynamic Neural Field Architecture for Human–Robot Interaction
por: Bicho, Estela, et al.
Publicado: (2010) -
Neural signatures of visuo-motor integration during human-robot interactions
por: Marchesotti, Silvia, et al.
Publicado: (2023) -
Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks
por: Cavallari, Stefano, et al.
Publicado: (2014)