DocumentCode :
3376780
Title :
Towards a framework for robot cognition
Author :
Goncalves, Luizm G. ; Wheeler, Davids ; Oliveira, A.A. ; Grupen, Roderica
Author_Institution :
Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
fYear :
1999
fDate :
1999
Firstpage :
288
Lastpage :
293
Abstract :
This work describes a framework for control of attention and for pattern categorization using a robot platform consisting of an articulated stereo-head with four degrees of freedom (pan, tilt, left verge, and right verge). As a practical result of this work, the system can select a region of interest, perform attention shifts involving saccadic movements, perform efficient feature extraction and recognition, incrementally construct a world map, and keep the map consistent with a current perception of the world. Another important result for the attentional mechanism is that the system is capable of analyzing all regions of its world, selected according to a salience map
Keywords :
active vision; cognitive systems; feature extraction; image classification; learning (artificial intelligence); robot vision; stereo image processing; attention; feature extraction; learning; pattern categorization; robot vision; saccadic movements; stereo vision; Biological system modeling; Biological systems; Cognition; Cognitive robotics; Computer architecture; Computer science; Eyes; Feature extraction; Mobile robots; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Robotics and Automation, 1999. CIRA '99. Proceedings. 1999 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-5806-6
Type :
conf
DOI :
10.1109/CIRA.1999.810063
Filename :
810063
Link To Document :
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