Abstract
In this paper, we present an artificial endocrine system-based path planning (AES-PP) algorithm for robot path planning. Different from the traditional evolutionary algorithms, hormone is firstly secreted by the endocrine cell from the start point. And then, it will diffuse to the goal point where the robot wants to go. With the diffusing of the hormone, some special marks will be signed by the target cells. Finally, the optimal path will be gotten by linking the signed marks on order. We evaluate the performance of the proposed AES-PP approach for robot path planning and the results have shown that the proposed approach is efficient in dealing with the problem with complex search space. At the same time, planning accuracy has been achieved. This is especially important for environments in which the search space is very huge.
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