Please use this identifier to cite or link to this item:
Title: Innate immune based path planner of an Autonomous Mobile Robot
Authors: B.B.V.L, Deepak
Parhi, D R
Kundu, S
Keywords: autonomous mobile robot
artificial immune system
mobile robot navigation
behaviour learning
Issue Date: Apr-2012
Publisher: Elsevier
Citation: International Conference on Modelling, Optimisation and Computing (ICMOC – 2012) 10-11th April 2012, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India
Abstract: Path 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.
Description: Copyright for this paper belongs to Elsevier Ltd
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
DEEPAK_ICMOC_836 - Copy.pdf317.5 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.