Statistical analysis of parameters impacts on temporal performances for multi-robot coordination based on ACO algorithm

In this paper, we analyze the temporal performance of multi-robot system which are performing a foraging object task. The coordination between different robotic agents was inspired by the ant colony optimization algorithms (ACO). The objective was to prospect about parameters influence on foraging objects time. In this work, we consider three possible influencing parameters including robotic group size, objects distribution configuration and evaporation pheromone rate. The analysis of parameters impact on temporal performance is done by Analysis of Variance method (ANOVA).