Multilevel cognitive machine-learning-based concept for artificial awareness: application to humanoid robot awareness using visual saliency

Authors:
Kurosh Madani;Dominik M. Ramik;Cristophe Sabourin
Affiliations:
Senart-FB Institute of Technology, University Paris-EST Créteil, Lieusaint, France;Senart-FB Institute of Technology, University Paris-EST Créteil, Lieusaint, France;Senart-FB Institute of Technology, University Paris-EST Créteil, Lieusaint, France
Venue:
Applied Computational Intelligence and Soft Computing - Special issue on Awareness Science and Engineering
Year:
2012

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Abstract

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.