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Agus Triadi
Robotic and Control Research Lab, Faculty of Computer Science, Sriwijaya University
Computer Science & IT Electrical & Electronics Engineering

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Swarm Robots Control System based Fuzzy-PSO Siti Nurmaini; Siti Zaiton M. Hashim; Agus Triadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1369.625 KB) | DOI: 10.11591/eecsi.v1.349

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
Co-Authors Siti Nurmaini Siti Zaiton M. Hashim