Abstract
In this study, we apply the Highly Optimized Tolerance theory proposed by Carlson and Doyle to determine the optimal allocation positions of autonomous mobile robots that remove the serious virus in the environmental field. The virus is arrived according to a known probability distribution in the field. It is said, based on the HOT theory, there is power law property between the number of infected persons with virus and cumulative probability of that event in a case where a robust virus removing system is made by optimal allocation of robots. The better allocation makes a smaller number of infected persons. Based on a proposed method, we carried out some computer simulations to examine our approach.
