A dynamic neural field architecture for a pro-active assistant robot

We present a control architecture for non-verbal HRI that allows an assistant robot to have a pro-active and anticipatory behavior. The architecture implements the coordination of actions and goals among the human, that needs help, and the robot as a dynamic process that integrates contextual cues,...

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Detalhes bibliográficos
Autor principal: Pinheiro, Manuel (author)
Outros Autores: Bicho, E. (author), Erlhagen, Wolfram (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2010
Assuntos:
Assistant robot
Pro-active behavior
Action understanding
Goal inference
Dynamic neural fields
Dynamical systems
Anthropomorphic robot
Dynamic control architecture
Motor imparments
Anticipatory behavior
Coordination of actions and decisions
Joint action
Human-robot interaction
Science & Technology
Texto completo:http://hdl.handle.net/1822/10962
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/10962

Texto Completo

http://hdl.handle.net/1822/10962

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