Home /Research /Pattern Recognition Approach for Formation Control for Swarm Robotics Using Fuzzy-Kohonen Networks
SWARM

Pattern Recognition Approach for Formation Control for Swarm Robotics Using Fuzzy-Kohonen Networks

Siti Nurmaini, Bambang Tutuko, Aditya Aditya

Year
2015
Citations
4
Access
Open access

Abstract

Recent advances in robotics have started makingit feasible to deploy large numbers of inexpensive robotsfor tasks such as surveillance and search. However,coordination of multiple robots to accomplish such tasksremains a challenging problem. This paper describes newalgorithm Fuzzy-Kohonen Networks (FKN) to achieve realtimereactive formation control for swarm robots.

Keywords

Self-organizing mapArtificial intelligenceFuzzy logicSwarm roboticsComputer scienceRoboticsPattern recognition (psychology)Swarm behaviourMachine learningArtificial neural network

Related papers

Browse all SWARM papers