Home /Research /Self-organizing intelligence for cellular robotic system 'CEBOT' with genetic knowledge production algorithm
MANIPULATION

Self-organizing intelligence for cellular robotic system 'CEBOT' with genetic knowledge production algorithm

Y. Kawauchi, Makoto Inaba, Toshio Fukuda

Year
2003
Citations
15

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Keywords

Computer scienceArtificial intelligenceGenetic algorithmManipulator (device)Computational intelligenceRobotProduction (economics)Knowledge acquisitionMachine learning

Related papers

Browse all MANIPULATION papers