AN EXTENDED SIMULATION OF COMPLEX TASK PARTITIONING METHOD IN ASELF-ORGANIZED ROBOTICS SWARM

Interference and specially one of the most common kinds of it which is also known as physical interference, is among the most critical problems in terms of multi-robot co-operation. A simple way reducing interference is to make robots remain in unique work areas and move the objects to the next robot as soon as they intersect their areasa€ borders. The problem of interference reduction, in this article, was investigated using complex task partitioning in the self-organized robotic swarms. The presented method is simulated, which eliminates some of the previous simulationsa€ limitations in many domains including the number and robotsa€ speed. These developments contribute to a more real impression of the natural world problems. The results show improvements in terms of operation cost.