Study and design of multi-robots pursuing based on improved ant colony labor division method

Swarm Intelligence is applied to multi-agent system collaboration in order to improve the flexibility and adaptability of multi-agent system. According to the similarities between multi-robots pursuing and ants foraging, ant colony task allocation model is applied to multi-robots collaborative pursuing. Artificial potential method is introduced to ant colony task allocation model, and defined adaptive task allocation model. Experiment results show that it is consistent between the experiments and the actual situation expectations, and the whole experiments in our work can fulfill the demand of coordination in multi-robots pursuing. The extended task allocation model can farther be applied into other multi-agents application, and it has a broader foreground.