Swarm Robots Control System Based Fuzzy-PSO

Nurmaini, Siti • M. Hashim, Siti Zaiton • Triadi, Agus

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

Metrics

  • 3 views
  • 0 downloads

Conference

1st International Conference on Electrical Engineering, Computer Science and Informatics 2014

The 1st International Conference on Electrical Engineering Computer Science and Informatics (EECS... see more