Learning, adaptation and evolution of intelligent robotic system

Author

Fukuda, Toshio ; Kubota, Naoyuki

Author_Institution

Dept. of Micro Syst. Eng., Nagoya Univ., Japan

fYear

1998

fDate

14-17 Sep 1998

Firstpage

2

Lastpage

7

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

adaptive control; intelligent control; learning (artificial intelligence); robots; adaptation; coevolution; dynamic environment; emergent system; evolution; implementation methods; intelligent robotic system; learning; structured intelligence; system architecture; Artificial intelligence; Competitive intelligence; Computational intelligence; Computer architecture; Hardware; Intelligent robots; Intelligent structures; Intelligent systems; Learning; Orbital robotics;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings

Conference_Location

Gaithersburg, MD

ISSN

2158-9860

Print_ISBN

0-7803-4423-5

Type

conf

DOI

10.1109/ISIC.1998.713626

Filename

713626