Target seeking behaviour of an intelligent mobile robot using advanced particle swarm optimization

Author

Deepak, B.B.V.L. ; Parhi, Dayal R.

Author_Institution

Dept. of Ind. Design, Nat. Inst. of Technol., Rourkela, India

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

1

Lastpage

6

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.

Keywords

collision avoidance; intelligent robots; mobile robots; particle swarm optimisation; PSO-based motion planners; advanced particle swarm optimization; autonomous mobile robot; collision free path generation; fitness function; intelligent mobile robot; path analysis; robot sensory information; target seeking behaviour; Collision avoidance; Mobile robots; Particle swarm optimization; Path planning; Robot sensing systems; autonomous mobile robot; motion planning; obstacle avoidance; particle swarm optimization; target seeking;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Embedded Systems (CARE), 2013 International Conference on

Conference_Location

Jabalpur

Type

conf

DOI

10.1109/CARE.2013.6733749

Filename

6733749