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本文将模糊逻辑、神经网络和传感器融合技术结合起来，用于移动机器人的避障控制研究，利用多个非摄像类的超声波和红外线传感器探测环境信息，采用多传感器融合技术进行传感器信号处理，并且探讨了模糊聚类和神经网络系统在机器人系统中的避障控制能力，给出了虚拟环境下的计算机仿真结果．
This paper combines fuzzy logic, neural network and sensor fusion technology to study the obstacle avoidance control of mobile robots. It uses multiple non-camera ultrasound and infrared sensors to detect environmental information, and uses multi-sensor fusion technology to process sensor signals. The obstacle avoidance control ability of fuzzy clustering and neural network system in robot system is discussed, and the computer simulation results in virtual environment are given.