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Neural robot path planning: The maze problem

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Abstract

The importance of path planning is very significant in the field of robotics. 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 non- smoothness of data. Here the path planning problem is reconsidered, and it is shown that multilayer perceptrons are able to learn the task successfully.

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Correspondence to D. C. Dracopoulos.

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Dracopoulos, D.C. Neural robot path planning: The maze problem. Neural Comput & Applic 7, 115–120 (1998). https://doi.org/10.1007/BF01414163

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  • DOI: https://doi.org/10.1007/BF01414163

Keywords

Navigation