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A computational model of perception and action for cognitive robotics.
Haazebroek, Pascal; van Dantzig, Saskia; Hommel, Bernhard.
Afiliación
  • Haazebroek P; Cognitive Psychology Unit and Leiden Institute for Brain and Cognition, Leiden, The Netherlands. phaazebroek@fsw.leidenuniv.nl
Cogn Process ; 12(4): 355-65, 2011 Nov.
Article en En | MEDLINE | ID: mdl-21597926
Robots are increasingly expected to perform tasks in complex environments. To this end, engineers provide them with processing architectures that are based on models of human information processing. In contrast to traditional models, where information processing is typically set up in stages (i.e., from perception to cognition to action), it is increasingly acknowledged by psychologists and robot engineers that perception and action are parts of an interactive and integrated process. In this paper, we present HiTEC, a novel computational (cognitive) model that allows for direct interaction between perception and action as well as for cognitive control, demonstrated by task-related attentional influences. Simulation results show that key behavioral studies can be readily replicated. Three processing aspects of HiTEC are stressed for their importance for cognitive robotics: (1) ideomotor learning of action control, (2) the influence of task context and attention on perception, action planning, and learning, and (3) the interaction between perception and action planning. Implications for the design of cognitive robotics are discussed.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Percepción / Simulación por Computador / Robótica / Redes Neurales de la Computación / Cognición / Aprendizaje Límite: Humans Idioma: En Revista: Cogn Process Asunto de la revista: PSICOLOGIA Año: 2011 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Percepción / Simulación por Computador / Robótica / Redes Neurales de la Computación / Cognición / Aprendizaje Límite: Humans Idioma: En Revista: Cogn Process Asunto de la revista: PSICOLOGIA Año: 2011 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Alemania