Title
Autonomous behavior-based switched top-down and bottom-up visual attention for mobile robots
Abstract
In this paper, autonomous switching between two basic attention selection mechanisms, i.e., top-down and bottom-up, is proposed. This approach fills a gap in object search using conventional top-down biased bottom-up attention selection, which fails, if a group of objects is searched whose appearances cannot be uniquely described by low-level features used in bottom-up computational models. Three internal robot states, such as observing, operating, and exploring, are included to determine the visual selection behavior. A vision-guided mobile robot equipped with an active stereo camera is used to demonstrate our strategy and evaluate the performance experimentally. This approach facilitates adaptations of visual behavior to different internal robot states and benefits further development toward cognitive visual perception in the robotics domain.
Year
DOI
Venue
2010
10.1109/TRO.2010.2062571
IEEE Transactions on Robotics
Keywords
Field
DocType
Visualization,Switches,Search problems,Robot kinematics,Uncertainty,Pixel
Social robot,Computer vision,Stereo camera,Robot kinematics,Artificial intelligence,Visual servoing,Robot,Visual control,Mobile robot,Mathematics,Robotics
Journal
Volume
Issue
ISSN
26
5
1552-3098
Citations 
PageRank 
References 
10
0.59
29
Authors
3
Name
Order
Citations
PageRank
Tingting Xu11239.59
Kolja Kühnlenz243040.87
Martin Buss31799159.02