Ant Inspired Algorithm for Multi-Robot Collaboration

Abstract

There are several application scenarios where multiple robots can be used to attain goals otherwise not possible by deploying a single robot. In this study, we analyze the defensive behavior in ants and derive the inspiration for collaborative approach in multi-robot systems from them. The algorithm is then simulated in a multi-robot system to observe the effectiveness of the resulting collaboration. The finding of this study suggests that the proposed collaborative algorithm, inspired by the social defensive behavior of ants, is effective in improving multi-robot system efficiency. The implementation of the algorithm in software simulation also resulted emergence of escaping behavior in robots trapped between obstacles.