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Title: An intelligent robotic system based on a fuzzy approach

Abstract

This paper deals with a fuzzy-based intelligent robotic system that requires various capabilities normally associated with intelligence. It acquires skills and knowledge through interaction with a dynamic environment. Recently, subsumption architectures, behavior-based artificial intelligence, and behavioral engineering for robotic systems have been discussed as new technologies for intelligent robotic systems. This paper proposes a robotic system with structured intelligence. The authors focus on a mobile robotic system with a fuzzy controller and propose a sensory network that allows the robot to perceive its environment. An evolutionary approach improves the robot's performance. Furthermore, the authors discuss the effectiveness of the proposed method through computer simulations of collision avoidance and path-planning problems.

Authors:
;
Publication Date:
Research Org.:
Nagoya Univ. (JP)
OSTI Identifier:
20001229
Resource Type:
Journal Article
Journal Name:
Proceedings of the IEEE (Institute of Electrical and Electronics Engineers)
Additional Journal Information:
Journal Volume: 87; Journal Issue: 9; Other Information: PBD: Sep 1999; Journal ID: ISSN 0018-9219
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; ROBOTS; COMPUTERIZED CONTROL SYSTEMS; FUZZY LOGIC; ARTIFICIAL INTELLIGENCE

Citation Formats

Fukuda, Toshio, and Kubota, Naoyuki. An intelligent robotic system based on a fuzzy approach. United States: N. p., 1999. Web. doi:10.1109/5.784220.
Fukuda, Toshio, & Kubota, Naoyuki. An intelligent robotic system based on a fuzzy approach. United States. doi:10.1109/5.784220.
Fukuda, Toshio, and Kubota, Naoyuki. Wed . "An intelligent robotic system based on a fuzzy approach". United States. doi:10.1109/5.784220.
@article{osti_20001229,
title = {An intelligent robotic system based on a fuzzy approach},
author = {Fukuda, Toshio and Kubota, Naoyuki},
abstractNote = {This paper deals with a fuzzy-based intelligent robotic system that requires various capabilities normally associated with intelligence. It acquires skills and knowledge through interaction with a dynamic environment. Recently, subsumption architectures, behavior-based artificial intelligence, and behavioral engineering for robotic systems have been discussed as new technologies for intelligent robotic systems. This paper proposes a robotic system with structured intelligence. The authors focus on a mobile robotic system with a fuzzy controller and propose a sensory network that allows the robot to perceive its environment. An evolutionary approach improves the robot's performance. Furthermore, the authors discuss the effectiveness of the proposed method through computer simulations of collision avoidance and path-planning problems.},
doi = {10.1109/5.784220},
journal = {Proceedings of the IEEE (Institute of Electrical and Electronics Engineers)},
issn = {0018-9219},
number = 9,
volume = 87,
place = {United States},
year = {1999},
month = {9}
}