Target Seeking Behaviour of an Intelligent  Mobile Robot Using Advanced Particle Swarm  Optimization

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2052

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DC Field	Value	Language
dc.contributor.author	Deepak, B B V L	-
dc.contributor.author	Parhi, D R	-
dc.date.accessioned	2014-01-06T04:30:23Z	-
dc.date.available	2014-01-06T04:30:23Z	-
dc.date.issued	2013-12	-
dc.identifier.citation	IEEE International Conference on Control, Automation, Robotics and Embedded System, 2013	en
dc.identifier.uri	http://hdl.handle.net/2080/2052	-
dc.description	Copyright belongs to the proceeding publisher	en
dc.description.abstract	the present research work aims to develop two different motion planners for an autonomous mobile robot. The developed motion planners are inspired by particle swarm optimization and are useful for generating feasible paths by the robot within its unknown environment. Each motion planner works on its own fitness function and each fitness function are modelled based on the robot sensory information. Path analysis results showed that both motion planners are generating collision free paths and reaches its destination within its workspace. Finally, comparison has been done in between the developed PSO based motion planners.	en
dc.format.extent	555441 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.subject	autonomous mobile robot	en
dc.subject	motion planning	en
dc.subject	obstacle avoidance	en
dc.subject	target seeking	en
dc.subject	particle swarm optimization	en
dc.title	Target Seeking Behaviour of an Intelligent Mobile Robot Using Advanced Particle Swarm Optimization	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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