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本文从生物学的角度出发，提出了一种基于神经网络的水下机器人基础运动的信息融合技术。经过水下机器人的水池与湖中物理环境下的实际运行，结果表明该信息融合技术的有效性，以及比单纯传感器数据融合更优越的性能。
In this paper, from a biological point of view, this paper proposes a neural network based information fusion technology of underwater robot’s basic motion. The results show that the information fusion technology is more effective and more superior than the mere sensor data fusion through the actual operation of the underwater robot in the pool and the lake.