DocumentCode :
1397319
Title :
Visual Attention for Robotic Cognition: A Survey
Author :
Begum, Momotaz ; Karray, Fakhri
Author_Institution :
Sch. of Interactive Comput., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
3
Issue :
1
fYear :
2011
fDate :
3/1/2011 12:00:00 AM
Firstpage :
92
Lastpage :
105
Abstract :
The goal of the cognitive robotics research is to design robots with human-like cognition (albeit reduced complexity) in perception, reasoning, action planning, and decision making. Such a venture of cognitive robotics has developed robots with redundant number of sensors and actuators in order to perceive the world and act up on it in a human-like fashion. A major challenge to deal with these robots is managing the enormous amount of information continuously arriving through multiple sensors. The primates master this information management skill through their custom-built attention mechanism. Mimicking the attention behavior of the primates, therefore, has gained tremendous popularity in robotic research in the recent years ( Bar-Cohen , Biologically Inspired Intelligent Robots, 2003, and B. Webb , Biorobotics, 2003). The difficulties of redundant information management, however, is the most severe in case of visual perception of the robots. Even a moderate size image of the natural scene generally contains enough visual information to easily overload the on-line decision making process of an autonomous robot. Modeling primates-like visual attention mechanism for the robot, therefore, is becoming more popular among the robotic researchers. A visual attention model enables the robot to selectively (and autonomously) choose a “behaviorally relevant” segment of visual information for further processing while relative exclusion of the others. This paper sheds light on the ongoing journey of robotics research to achieve a visual attention model which will serve as a component of cognition of the modern-day robots.
Keywords :
cognition; human-robot interaction; intelligent robots; robot vision; visual databases; custom-built attention mechanism; human-like cognition; redundant information management; robotic cognition; visual attention model; Human–robot interaction; joint attention; overt attention; robotic cognition; visual attention;
fLanguage :
English
Journal_Title :
Autonomous Mental Development, IEEE Transactions on
Publisher :
ieee
ISSN :
1943-0604
Type :
jour
DOI :
10.1109/TAMD.2010.2096505
Filename :
5659891
Link To Document :
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