DSpace@nitr >
National Institue of Technology- Rourkela >
Conference Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1683

Full metadata record

DC FieldValueLanguage
contributor.authorB.B.V.L, Deepak-
contributor.authorParhi, D R-
contributor.authorKundu, S-
date.accessioned2012-04-27T11:07:21Z-
date.available2012-04-27T11:07:21Z-
date.issued2012-04-
identifier.citationInternational Conference on Modelling, Optimisation and Computing (ICMOC – 2012) 10-11th April 2012, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, Indiaen
identifier.urihttp://hdl.handle.net/2080/1683-
descriptionCopyright for this paper belongs to Elsevier Ltden
description.abstractPath planning of mobile robot is related to generating safest trajectories within its work space by avoiding obstacles, escaping traps and finally reaches its destination within optimal period. While an autonomous mobile robot is motion, each robot task needs a different form of learning because of its environmental changes. To select suitable robotic action at different environmental situations, a new motion planner is described in the current research work. The proposed motion planner is motivated from the biological innate immune system. To actuate a suitable robotic action, one new parameter named as learning rate has been introduced, which correlates the robot sensory information and the pre-engineered robot actions. The further movement of the robot is then decided by selecting of a suitable robot predefined task, there by the robot will move in sequence until it reaches to its destination. Finally, the developed path planner is executed in various simulated robotic environments.en
format.extent325119 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherElsevieren
subjectautonomous mobile roboten
subjectartificial immune systemen
subjectmobile robot navigationen
subjectbehaviour learningen
titleInnate immune based path planner of an Autonomous Mobile Roboten
typeArticleen
Appears in Collections:Conference Papers

Files in This Item:

File Description SizeFormat
DEEPAK_ICMOC_836 - Copy.pdf317KbAdobe PDFView/Open

Show simple item record

All items in DSpace are protected by copyright, with all rights reserved.

 

Powered by DSpace Feedback