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Computational Intelligence for Mobile Robotic Systems - Decision Making, Learning, and Planning -
Toshio Fukuda* and Naoyuki Kubota**
*Center for Cooperative Research in Advanced Science and Technology, Dept. of Mechano-Informatics and Systems, Dept. of Micro System Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan
**Department of Human and Artificial Intelligent Systems, Fukui University, 3-9-1 Bunkyo, Fukui 910-8507, Japan
Received:February 14, 2000Accepted:March 15, 2000Published:June 20, 2000
Keywords:computational intelligence, robotics, coevolutionary computation, planning, decision making
Abstract
This paper describes recent topics of computational intelligence. The intelligent capabilities will be required for the various systems to adapt to dynamically changing environments. First, we introduce the computational intelligence including evolutionary computing, neural computing, and fuzzy computing. Next, some of the important problems including the system architecture, structured intelligence, emerging system, and implementation methods are discussed for mobile robotic systems from the viewpoint of coevolution.
Cite this article as:T. Fukuda and N. Kubota, “Computational Intelligence for Mobile Robotic Systems - Decision Making, Learning, and Planning -,” J. Robot. Mechatron., Vol.12 No.3, pp. 194-201, 2000.Data files:
Copyright© 2000 by Fuji Technology Press Ltd. and Japan Society of Mechanical Engineers. All right reserved.
