Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/45420
Título: | Combining intention and emotional state inference in a dynamic neural field architecture for human-robot joint action |
Autor(es): | Silva, Rui Louro, Luís Malheiro, Tiago Erlhagen, Wolfram Bicho, Estela |
Palavras-chave: | Human-robot interactions Dyanmic field architecture Goal inference Emotional state Human-robot joint action emotional state inference error detection decision making dynamic neural fields |
Data: | 10-Out-2016 |
Editora: | SAGE Publications |
Revista: | Adaptive Behavior |
Resumo(s): | We report on our approach towards creating socially intelligent robots, which is heavily inspired by recent experimental findings about the neurocognitive mechanisms underlying action and emotion understanding in humans. Our approach uses neuro-dynamics as a theoretical language to model cognition, emotional states, decision making and action. The control architecture is formalized by a coupled system of dynamic neural fields representing a distributed network of local but connected neural populations. Different pools of neurons encode relevant information in the form of self-sustained activation patterns, which are triggered by input from connected populations and evolve continuously in time. The architecture implements a dynamic and flexible context-dependent mapping from observed hand and facial actions of the human onto adequate complementary behaviors of the robot that take into account the inferred goal and inferred emotional state of the co-actor. The dynamic control architecture was validated in multiple scenarios in which an anthropomorphic robot and a human operator assemble a toy object from its components. The scenarios focus on the robot’s capacity to understand the human’s actions, and emotional states, detect errors and adapt its behavior accordingly by adjusting its decisions and movements during the execution of the task. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/45420 |
DOI: | 10.1177/1059712316665451 |
ISSN: | 1059-7123 |
e-ISSN: | 1741-2633 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals CMAT - Artigos em revistas com arbitragem / Papers in peer review journals DEI - Artigos em revistas internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Silva et al Adaptive Behavior 2016.pdf | 7,05 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons