An Algorithm Design to Implement Swarm Robotics in The Next Generation of Technology

The new exploration of swarm robotics is dependent on the theme of austerity and elegance that resonates in both the designs and algorithms devised for the systems of the robots. The idea that complex macro level behaviors can emerge from simple local interactions between the agents is what the algorithms are based on. Several robotics enactment of this pattern confirms that these properties can be exploited for the control of a population of physically autonomous mobile robots. Swarm robotics is a new technical approach to the coordination of large numbers of relatively simple robots which takes its inspiration from social insects. Ant colony optimization (ACO) is a kind of conventional swarm intelligence .Swarm robotics is a new approach to the coordination of multi-robot systems which consist of large numbers of relatively simple robots which takes its inspiration from social insects .The algorithms dealt in this paper are explained on the basis of two projects where in the technical and practical aspects are examined based on the theoretical approach. The research in this field is not always accurate, though they have been useful to the research community. This paper interprets and gives overview of the two largest swarm robotics projects. The IROBOT swarm and the swarm robots projects, in which robots are made manually. Self-modeling and self-assembling of a swarm robot using a particular algorithm is explained in this particularly paper.