Abstract
Evolving effective multiple-robots autonomous communication models diverse from space exploration to biomedical nano-robots. Given today's biomedical demands in prevention against diseases, it is important to evolve the efficient communication techniques to serve biomedical applications. The proposed model provides the nano-robots team with high level of interaction relationships. As communication is key form of interaction, the proposed model classifies the interactions into multi-level communications: local and global communications. The local communications are used to coordinate movements by adopting a flocking-based swarming intelligence. The global Communication is proposed to coordinate task assignment. The designated task was to send a set of nano-robots to travel in the human blood circulation system to monitoring, swarming about a specified target location, and even cellular level drug delivery. The results has been proven to be efficient in terms of: self-maintaining movements towards the target and during task accomplishment, and minimising amount of communications by requesting no replies.