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在分析机器人手臂常规控制存在问题的基础上，给出了几种操作臂常用神经网络控制的方法，指出了方法的优缺点和本身具有的特性，为进一步开发机器人神经网络控制提供了一定的技术基础．
Based on the analysis of the problems existing in the routine control of robotic arm, several control methods of common neural network for manipulator are given. The advantages, disadvantages and inherent characteristics of the manipulator are pointed out, which provides some technical basis for further development of robotic neural network control basis.