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In this paper, we briefly review some of the most common approaches in path planning and we present a unified approach in path generation for a mobile robot. We use a memory neuron network to control a mobile robot along a trajectory while avoiding obstacles. We briefly show the robot's features in order to introduce the neural network used to control it. Some simulation results are discussed.