An intelligent robotic system based on a fuzzy approach

Journal Article · Wed Sep 01 00:00:00 EDT 1999 · Proceedings of the IEEE (Institute of Electrical and Electronics Engineers)

DOI:https://doi.org/10.1109/5.784220· OSTI ID:20001229

Fukuda, Toshio; Kubota, Naoyuki

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.

• Research Organization: Nagoya Univ. (JP)
• OSTI ID: 20001229
• Journal Information: Proceedings of the IEEE (Institute of Electrical and Electronics Engineers), Vol. 87, Issue 9; Other Information: PBD: Sep 1999; ISSN 0018-9219
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
ROBOTS
COMPUTERIZED CONTROL SYSTEMS
FUZZY LOGIC
ARTIFICIAL INTELLIGENCE