Autonomous five legs robot navigation in cluttered environment using fuzzy Q-learning and hybrid coordination node

Prihastono*, Handy Wicaksono, Khairul Anam, 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

4 Citations (Scopus)

Abstract

The research of legged robot was rapidly developed. It can be seen from recent ideas about new systems of robot movement that take ideas from nature, called biology inspired. This research focused on five legs robot that inspired from sea star (phylum echinodermata). For cluttered environment, it is necessary to uses more than one learning module to control navigation of five legs robot. This paper proposes the use of hybrid coordination node to coordinate multi fuzzy Q-learning module. The fuzzy Q-learning was incorporated in behavior-based control structure and was considered as generation of primitive behavior like obstacle avoidance.

Original languageEnglish
Title of host publicationICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
Pages2871-2874
Number of pages4
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
  • Five legs robot
  • Hybrid coordination node
  • Q-learning

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