Hybridization of fuzzy Q-learning and behavior-based control for autonomous mobile robot navigation in cluttered environment

Khairul Anam*, Prihastono, Handy Wicaksono, Rusdhianto Effendi, S. Indra Adji, Son Kuswadi, Achmad Jazidie, Mitsuji Sampei

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper proposes hybridization of fuzzy Q-learning and behavior-based control for autonomous mobile robot navigation problem in cluttered environment with unknown target position. The fuzzy Q-learning is incorporated in behavior-based control structure and it is considered as generation of primitive behavior like obstacle avoidance and target searching. The simulation result demonstrates that the hybridization enables robot to be able to learn the right policy, to avoid obstacle and to find the target. Real implementation of this hybridization shows that the robot was able to learn the right policy i.e. to avoid obstacle.

Original languageEnglish
Title of host publicationICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
Pages1023-1028
Number of pages6
Publication statusPublished - 2009
EventICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 - Fukuoka, Japan
Duration: 18 Aug 200921 Aug 2009

Publication series

NameICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

Conference

ConferenceICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
Country/TerritoryJapan
CityFukuoka
Period18/08/0921/08/09

Keywords

  • Behavior based control
  • Fuzzy q-learning

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