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Visual attention for robotic cognition: a survey (2011)
| Venue: | IEEE Transactions on Autonomous Mental Development |
| Citations: | 8 - 0 self |
BibTeX
@ARTICLE{Begum11visualattention,
author = {Momotaz Begum and Fakhri Karray},
title = {Visual attention for robotic cognition: a survey},
journal = {IEEE Transactions on Autonomous Mental Development},
year = {2011},
pages = {92--105}
}
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Abstract
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 chal-lenge 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 pop-ularity in robotic research in the recent years (Bar-Cohen et al., Biologically Inspired Intelligent Robots, 2003, and B. Webb et al., Biorobotics, 2003). The difficulties of redundant information management, however, is the most severe in case of visual per-ception 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 re-searchers. 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. Index Terms—Human–robot interaction, joint attention, overt attention, robotic cognition, visual attention. I.
Keyphrases
visual attention robotic cognition visual attention model tremendous pop-ularity redundant number custom-built attention mechanism relevant segment action planning decision making inspired intelligent robot robotic re-searchers major chal-lenge visual per-ception attention behavior moderate size image visual information enough visual information cognitive robotics natural scene cognitive robotics research relative exclusion robotic research information management skill on-line decision human-like fashion primates-like visual attention mechanism enormous amount robotics research autonomous robot recent year redundant information management ongoing journey joint attention modern-day robot index term human robot interaction multiple sensor overt attention human-like cognition
