Paper Info
Title
A Behavior-Based Controller with Evolutionary Adapted Fuzzy Rule Base for a Car-like Mobile Robot
Abstract
This paper presents the conception of a behavior-based controller for a car-like mobile robot. The proposed controller consists of a set of behaviors and a coordinator. Each behavior is an independent fuzzy-logic component, which has its own input/output variables and fuzzy rule base. In order to select the active behavior in an appropriate situation, a specific coordinator is implemented. An evolutionary adaptation of the fuzzy rule base is proposed to adapt the robot to its environment to have more autonomy and robustness.
Year
Venue
Keywords
2007
IC-AI
input output,mobile robot,fuzzy logic
Field
DocType
Citations 
Fuzzy electronics,Neuro-fuzzy,Defuzzification,Fuzzy set operations,Computer science,Artificial intelligence,Fuzzy control system,Fuzzy associative matrix,Fuzzy number,Machine learning,Fuzzy rule
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Haythem Ghazouani143.46
Moncef Tagina26016.33