AUTONOMOUS FIVE LEGS RESCUE ROBOT NAVIGATION IN  CLUTTERED ENVIRONMENT

dc.contributor.author	Prihastono
dc.contributor.author	Anam, Khairul
dc.contributor.author	Effendi, Rusdhianto
dc.contributor.author	Santoso, Ari
dc.contributor.author	Jazidie, Achmad
dc.date.accessioned	2016-06-06T03:28:07Z
dc.date.available	2016-06-06T03:28:07Z
dc.date.issued	2016-06-06
dc.identifier.issn	2223-9944; ISSN-l: 2223-9553
dc.identifier.uri	http://repository.unej.ac.id/handle/123456789/74515
dc.description.abstract	To realize the intelligent system in the robot that does not depend on the environment model. 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.	en_US
dc.language.iso	en	en_US
dc.subject	five legs robot	en_US
dc.subject	Q-learning	en_US
dc.subject	hybrid coordination node	en_US
dc.subject	behavior based control	en_US
dc.title	AUTONOMOUS FIVE LEGS RESCUE ROBOT NAVIGATION IN CLUTTERED ENVIRONMENT	en_US
dc.type	Article	en_US