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Cognitive Robots

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TLDR
A cognitive reference model of architectures and behaviors of cognitive robots is presented, which reveals the architectural differences and behavioral characteristics of Cognitive robots beyond conventional imperative robots.
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.

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New Approaches to Robotics

TL;DR: The relationship to traditional academic robotics and traditional artificial intelligence is examined and the use of representations, expectations, plans, goals, and learning is demonstrated, but without resorting to the traditional uses of central, abstractly manipulable or symbolic representations.