Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
Abstract :
To model the cognitive processes of robot authentication, an emerging technology of cognitive robots is introduced. A number of fundamental problem remains in cognitive robot studies, such as: 1) What are the necessary and sufficient intelligent behaviors of cognitive robots? and 2) How the intelligent capabilities of cognitive robots are distinguished from those of their imperative counterparts? This article presents a cognitive reference model of architectures and behaviors of cognitive robots, which reveals the architectural differences and behavioral characteristics of cognitive robots beyond conventional imperative robots. Cognitive informatics (CI) foundations of cognitive robots are explored from the aspects of neural informatics (Nel) and abstract intelligence (αl). The architectural model of cognitive robots is described based on a layered reference model of the brain (LRMB). The behavioral model of cognitive robot is elaborated with the generic behavioral model and the hierarchical relations among the behavioral processes of cognitive robots. A reference model of cognitive robots (RMCRs) is derived, which models cognitive robots by seven forms of intelligent behaviors at the imperative, autonomic, and cognitive layers from the bottom-up. Applications of RMCR are described in robot authentication, computational intelligence (Col), and automation systems.
Keywords :
artificial intelligence; cognitive systems; intelligent robots; abstract intelligence; automation system; cognitive informatics; cognitive reference model; computational intelligence; generic behavioral model; intelligent authentication; intelligent behavior; layered reference model of the brain; neural informatics; reference model of cognitive robot; robot architectural difference; robot authentication; robot behavior; Artificial intelligence; Authentication; Brain modeling; Humans; Nickel; Robot sensing systems;
Journal_Title :
Robotics & Automation Magazine, IEEE
DOI :
10.1109/MRA.2010.938842