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Applied Computational Intelligence and Soft Computing
Volume 2012, Article ID 354785, 11 pages
Research Article

Multilevel Cognitive Machine-Learning-Based Concept for Artificial Awareness: Application to Humanoid Robot Awareness Using Visual Saliency

Images, Signals and Intelligence Systems Laboratory (LISSI/EA 3956) and Senart-FB Institute of Technology, University Paris-EST Créteil (UPEC), Bât.A, avenue Pierre Point, 77127 Lieusaint, France

Received 11 March 2012; Revised 12 May 2012; Accepted 20 May 2012

Academic Editor: Qiangfu Zhao

Copyright © 2012 Kurosh Madani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


As part of “intelligence,” the “awareness” is the state or ability to perceive, feel, or be mindful of events, objects, or sensory patterns: in other words, to be conscious of the surrounding environment and its interactions. Inspired by early-ages human skills developments and especially by early-ages awareness maturation, the present paper accosts the robots intelligence from a different slant directing the attention to combining both “cognitive” and “perceptual” abilities. Within such a slant, the machine (robot) shrewdness is constructed on the basis of a multilevel cognitive concept attempting to handle complex artificial behaviors. The intended complex behavior is the autonomous discovering of objects by robot exploring an unknown environment: in other words, proffering the robot autonomy and awareness in and about unknown backdrop.