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Learning, adaptation and evolution of intelligent robotic system

Toshio Fukuda, Naoyuki Kubota

Year
2002
Citations
8

Abstract

The intelligent capabilities will be required to the robotics system more and more to adapt the system to dynamic environment. The system needs computational intelligence to cope with wider varieties of the tasks under constraints and environments than ever. Some of the important problems including the system architecture, structured intelligence, emergent system and implementation methods is discussed in this paper from the viewpoint of coevolution.

Keywords

Adaptation (eye)Computer scienceCoevolutionArtificial intelligenceArchitectureIntelligent decision support systemRobotRoboticsComputational intelligenceHuman–computer interaction

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