Transferring model in robotic group

Abstract

in this work described the basic idea of data transferring in the group of robots while they move in area with high density of obstacles for increasing their movement speed by creating and synchronizing an area map that made by each robot separately. This paper provides a brief review of existing robotic swarm projects and definition of problems in robots teamwork, represents pathfinding methods and there analysis, justificates technical vision system choice and described its methods of obstacle detecting that is based on dynamic triangulation. According to behavioristic models, using the fuzzy logic the method of leader changing was described. This knowledge helps to choose appropriate models of data transferring, make there modeling and create a proper network between robots to avoid the data lose.