Collaborating multi robotic agents for operations in inaccessible environments

This paper introduces a novel system where identical miniaturised robotic agents with limited capabilities collaborate to form a team that is capable of sophisticated tasks within inaccessible environments. Each autonomous entity is based on the biologically inspired spiking neural networks (SNNs) and communicates using pulses or spikes, with the weighting of the SNN evolved using an adaptive genetic algorithm (GA) that allows the robots to complete their desired tasks.