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.

• Type: Journal
• Year: 2008
• Where: IJHR
• Authors: Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratanaswasd, Erdem Erdemir, Joseph F. Hall
• Keywords: Cognitive Control, Cognitive Control Functionality, IJHR 2008, Intelligent Control Techniques