An Experimental Approach for Simple Swarm Robots
Swarm robotics is a relatively new field that focuses on controlling large-scale homogeneous multi-robot systems. Swarm robotics draws inspiration from self-organizing behaviour observed in social insects1 like ants, bees and of other animals, called swarm intelligence. One example of SI is bird flocking. By evading collisions, staying close to each other and aligning to local neighbours, birds in a flock avoid predators. These simple rules give rise to a very complex behaviour This paper describe a low-end and easy to implement flocking algorithm which was developed for very simple swarm robots and which works without communication, memory or global information.