Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 1: EECSI 2014

Swarm Robots Control System based Fuzzy-PSO

Siti Nurmaini (Robotic and Control Research Lab, Faculty of Computer Science, Sriwijaya University)
Siti Zaiton M. Hashim (Soft Computing Research Group, Universiti Teknologi Malaysia, Skudai, Johor Bahru)
Agus Triadi (Robotic and Control Research Lab, Faculty of Computer Science, Sriwijaya University)



Article Info

Publish Date
20 Aug 2014

Abstract

In this paper describes swarm robots control design using combination Fuzzy logic and Particle swarm optimization algorithm. They can communicate with each other to achieve the target. Fuzzy Logic technique is used for navigating swarm robots in unknown environment and Particle Swarm Optimization (PSO) is used for searching and finding the best position of target. In this experiment utilize three identical robots with different color. Every robot has three infrared sensors, two gas sensors, 1 compass sensor and one X-Bee. A camera in the roof of robot arena is utilized to determine the position of each robot with color detection methods. Swarm robots and camera are connected to a computer which serves as an information center. From the experimental results the Fuzzy-PSO algorithm is able to control swarm robots, achieves the best target position in short time and produce smooth trajectory

Copyrights © 2014






Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...