Fuzzy classifier system architectures for mobile robotics: An experimental comparison

2007 ◽  
Vol 22 (9) ◽  
pp. 993-1019 ◽  
Author(s):  
A.G. Pipe ◽  
B. Carse
Keyword(s):  
Mobile Robotics ◽  
Experimental Comparison ◽  
Fuzzy Classifier ◽  
System Architectures ◽  
Classifier System

A Fuzzy Classifier System for evolutionary learning of robot behaviors

1998 ◽  
Vol 91 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Yasushi Iwakoshi ◽  
Takeshi Furuhashi ◽  
Yoshiki Uchikawa
Keyword(s):  
Evolutionary Learning ◽  
Fuzzy Classifier ◽  
Classifier System

A Rule Discovery by Fuzzy Classifier System Utilizing Symbolic Information

2000 ◽  
Vol 4 (1) ◽  
pp. 24-30
Author(s):  
Makoto Fujii ◽  
◽  
Takeshi Furuhashi
Keyword(s):  
Search Space ◽  
Fuzzy Rules ◽  
Rule Discovery ◽  
Human Knowledge ◽  
Fuzzy Classifier ◽  
Classifier System ◽  
Symbolic Information ◽  
Efficient Exploration

This paper presents a new fuzzy classifier system (FCS) that can discover effective fuzzy rules efficiently. The system incorporates human knowledge in the form of symbolic information, and effectively limits its search space for fuzzy rules by using knowledge. The system also extracts symbolic information from acquired fuzzy rules for efficient exploration of other new fuzzy rules. Simulations are done to demonstrate the feasibility of the proposed method.

GA in Continuous Space and Fuzzy Classifier System for Opening a Door with a Manipulator of Mobile Robot: New Benchmark of Evolutionary Intelligent Computing

1996 ◽  
Vol 8 (3) ◽  
pp. 297-301 ◽  
Author(s):  
J. Ohwi ◽  
◽  
S.V. Ulyanov ◽  
Kazuo Yamafuji
Keyword(s):  
Genetic Algorithms ◽  
Mobile Robot ◽  
Service Use ◽  
Fuzzy Rule ◽  
Initial Position ◽  
Flexible Manipulator ◽  
Fuzzy Classifier ◽  
Continuous Space ◽  
Intelligent Computing ◽  
Classifier System

An intelligent mobile robot for service use which is mainly utilized in office buildings has been developed. It can locomote autonomously from one room to others in different floors and buildings using elevators. The robot equips a 5DOF manipulator and must often conduct opening and closing doors operation. For realizing door opening operation of a manipulator in cooperation with locomotive mechanisms, it is necessary to develop efficient and intelligent computing algorithms for next two requirements: (1) determination of initial position of the mobile robot in front of a door-knob like parking a car and (2) path planning of manipulator trajectory for opening a door. This paper provides these algorithms. We propose an algorithm on basis of Fuzzy Classifier System (FCS) for (1). The FCS is a kind of Genetic Algorithms (GA) in which a chromosome expresses each fuzzy rule. And we develop a method of making a trajectory of the flexible manipulator using Genetic Algorithms in Continuous Space (GACS) for (2).

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