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IJHR
2008

Implementation of Cognitive Control for a Humanoid Robot

11 years 12 months ago
Implementation of Cognitive Control for a Humanoid Robot
Engineers have long used control systems utilizing models and feedback loops to control realworld systems. Limitations of model-based control led to a generation of intelligent control techniques such as adaptive and fuzzy control. Human brain, on the other hand, is known to process a variety of inputs in parallel, ignore distractions to focus on the task in hand. This process, known as cognitive control in psychology, is unique to humans. We are interested in implementing such cognitive control functionality in robots. This paper outlines the multi-agentbased, hybrid cognitive architecture for a humanoid robot and the progress made on the implementation of cognitive control functionalities using attention, affect, working memory and internal rehearsal.
Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratana
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2008
Where IJHR
Authors Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratanaswasd, Erdem Erdemir, Joseph F. Hall
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