DocumentCode
3181346
Title
Self-organizing intelligence for cellular robotic system `CEBOT´ with genetic knowledge production algorithm
Author
Kawauchi, Yoshio ; Inaba, Makoto ; Fukuda, Toshio
Author_Institution
Toyo Eng. Corp., Chiba, Japan
fYear
1992
fDate
12-14 May 1992
Firstpage
813
Abstract
The authors propose a genetic knowledge production algorithm (GKPA) for CEBOT, in order to realize a self-organizing and self-evolutionary knowledge system. They propose a new kind of distributed intelligence system which is based on the concept of CEBOT employing the GKPA. This proposed intelligence system has capabilities of learning, reasoning, and self-organizing. This system consists of various kinds of intelligence units called knowledge-cells. As an example of the applications of the self-organizing intelligence, a robotic manipulator capable of learning and reasoning has been made from the CEBOT concept by installing the intelligence system with GKPA in the manipulator. The knowledge acquisition ability of the manipulator is demonstrated by experimental results
Keywords
genetic algorithms; knowledge based systems; robots; self-adjusting systems; CEBOT; cellular robotic system; genetic knowledge production algorithm; knowledge acquisition; self-evolutionary knowledge system; self-organizing intelligence; Biological systems; Evolution (biology); Genetic algorithms; Hardware; Intelligent robots; Intelligent systems; Knowledge acquisition; Manipulator dynamics; Organizing; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
Conference_Location
Nice
Print_ISBN
0-8186-2720-4
Type
conf
DOI
10.1109/ROBOT.1992.220269
Filename
220269
Link To Document