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  A simple goal seeking navigation method for a mobile robot using human sense, fuzzy logic and reinforcement learning
 
 
Title: A simple goal seeking navigation method for a mobile robot using human sense, fuzzy logic and reinforcement learning
Author: Boubertakh Hamid
Tadjine Mohamed
Glorennec Pierre-Yves
Labiod Salim
Appeared in: Journal of automatic control
Paging: Volume 18 (2008) nr. 1 pages 23-27
Year: 2008
Contents: This paper proposes a new fuzzy logic-based navigation method for a mobile robot moving in an unknown environment. This method allows the robot obstacles avoidance and goal seeking without being stuck in local minima. A simple Fuzzy controller is constructed based on the human sense and a fuzzy reinforcement learning algorithm is used to fine tune the fuzzy rule base parameters. The advantages of the proposed method are its simplicity, its easy implementation for industrial applications, and the robot joins its objective despite the environment complexity. Some simulation results of the proposed method and a comparison with previous works are provided.
Publisher: Elektrotehnički fakultet, Beograd (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 6 found articles
 
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