Robot path planning for maze navigation

This paper presents the application of multilayer perceptrons to the robot path planning problem, and in particular to the task of maze navigation. Previous published results implied that the training of feedforward multilayered networks failed, because of the nonsmoothness of data. Here the same maze problem is revisited.