Communications in computer and information science: Performance improvement and interference reduction through complex task partitioning in a self-organized robotic swarm

Abstract

Interference has long been accepted as one of the critical problems in multi-robot co-operation. One of the most common kinds of interference is physical interference. A simple way of reducing this interference is to make robots remain in unique work areas and move the objects to the next robot as soon as they cross the borders of their areas. In this article, the problem of interference reduction is investigated through the complex task partitioning in self-organized robotic swarms. The presented method was simulated and the results show an improvement in the cost of operations. © 2011 Springer-Verlag.