An algorithm based on autowaves for navigation control of a mobile robot

Two layers reaction-diffusion cellular neural networks (RDCNN) are used for studying the formation of spatial and oscillatory patterns on the plane. In last years, computation based on waves has been used for applications such as synchronicity and navigation with walking mini-robots. Two RDCNN are used for controlling navigation with auto-waves. The first RDCNN emits attractive waves from the objective, meanwhile the second RDCNN emits repulsive waves from the obstacles. In this paper an algorithm driven by activation is proposed, and some simulation results are presented.