Intelligent Centralized Autonomous System for Multiple Mobile Spherical Robots

In this paper, we proposed an autonomous controlling system for multiple spherical robots, which is based on low cost devices constructed system. In order to deal with the limited computing capability of low cost devices, we proposed a Two Levels Nearest Neighbor based Steady State Genetic Algorithm for visual tracking system, which is utilized for our autonomous controlling system for multiple spherical robots. At the same time, and fuzzy theorem is also being utilized for dealing with the feature of spherical robots. The experiment shows the fast computing time.