Chapter 5.4
Implementation of Cognitive Controls for Robots
Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratanaswasd, Christopher S. Garber, and Erdem Erdemir Center for Intelligent Systems, Vanderbilt University, Nashville, TN, USA
Abstract
Engineers have long used control systems utilizing models and feedback loops to control real-world systems. Limitations of model-based controls led to a generation of intelligent control techniques such as adaptive and fuzzy controls. The human brain, on the other hand, is known to process a variety of inputs in parallel, ignoring distractions to focus on the task in hand. This process, known as cognitive control in psychology, is unique to humans and some higher classes of animals. We are interested in implementing ...
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