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介绍一种机器人在不确定环境下,通过探障传感器,在探测过程中采用模糊神经网络躲避障碍物的方法。该模糊控制规则采用神经网络,来实现以避免控制规则的死点从而完成避碰路径规划,计算机仿真实验结果验证了该法的有效和实用性。
This paper introduces a method of avoiding the obstacle by using fuzzy neural network in the process of detecting robot through uncertain obstacle sensor. The fuzzy control rules using neural network to achieve to avoid the dead point of the control rules to complete collision avoidance path planning, computer simulation results verify the effectiveness and practicality of the method.