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

Applied Computational Intelligence and Soft Computing. 2012;2012 DOI 10.1155/2012/354785

 

Journal Homepage

Journal Title: Applied Computational Intelligence and Soft Computing

ISSN: 1687-9724 (Print); 1687-9732 (Online)

Publisher: Hindawi Publishing Corporation

LCC Subject Category: Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Country of publisher: Egypt

Language of fulltext: English

Full-text formats available: PDF, HTML, ePUB, XML

 

AUTHORS

Kurosh Madani (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)
Dominik M. Ramik (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)
Cristophe Sabourin (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)

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 21 weeks

 

Abstract | Full Text

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.