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A Multi-Robot Cooperative Searching Algorithm in Unknown Environments based on Neural Network

A neural network algorithm are proposed for complete coverage navigation which only choose the maximum activity of peripheral neurons as a guide. However, cooperation is the key to utilizing the potential of multirobot systems. In this paper, we present a market method based on neural network of dynamic task allocation for groups of such robots. Robots bid for tasks depend on its fitness and release those overdue tasks, which strengthens cooperation and improves search efficiency. The simulation results show that our method can realize the cooperation among individuals, improve the area coverage rate, reduce the number of repeated coverages, and improve the area coverage efficiency of swarm robots.