DocumentCode :
632534
Title :
Minimizing cognition cost using conditional vision for humanoid soccer robot
Author :
Safdari, Reza ; Kashkoee, Reza ; Najafipour, M. Reza ; Salehi, Mostafa E.
Author_Institution :
Mechatron. Res. Lab., Islamic Azad Univ., Qazvin, Iran
fYear :
2013
fDate :
8-8 April 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper we show how the vision module can be divided to stationary and mobile object detection subsystems. According to the results, by active management of the robot image processing, the robot processing load is reduced and yet the accuracy of object tracking and self-localization is preserved. Our proposed conditional vision method is used to decrease the robot cognition cost.
Keywords :
humanoid robots; object detection; object tracking; robot vision; cognition cost minimization; conditional robot vision method; humanoid robot team; mobile object detection subsystem; object self-localization; object tracking; robot image processing; stationary object detection subsystem; Cognition; Games; Humanoid robots; Mobile communication; Object detection; Robot sensing systems; Cognition; Conditional Vision; Extended Kalman Filter; Humanoid; Self-Localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AI & Robotics and 5th RoboCup Iran Open International Symposium (RIOS), 2013 3rd Joint Conference of
Conference_Location :
Tehran
Type :
conf
DOI :
10.1109/RIOS.2013.6595313
Filename :
6595313
Link To Document :
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