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Kinematics Research of 6R Arc Welding Robot Based on Radial Basis Function Neural Network

机译:基于径向基函数神经网络的6R弧焊机器人运动学研究

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Take serial robot with six DOF for example.On the basis of analyzing the characteristics of RBF neural network,inverse kinematics calculation of arc welding robot was achieved by RBF of six-input and single output.The forward and inverse kinematics could be seen as a nonlinear mapping between the joint space and the operation space of the robot.Take the algorithm based on RBF.Acquire RBF centers by the nearest neighbor clustering algorithm.The inverse kinematics of robot was solved.Through learning the training samples of the positive solutions to determine weight coefficient of neural network,the robot's pose could be accurately solved.The example shows that the algorithm has the characteristics of simple calculation and effective solution,etc.The cumbersome derivation of traditional methods is avoided.It can be seen as kinematics trajectory tracking controller of serial mechanism system.
机译:以具有六个自由度的串行机器人为例,在分析RBF神经网络的特征的基础上,通过六输入单输出的RBF实现了弧焊机器人的逆运动学计算,正向运动学和逆向运动学可以看作是机器人关节空间与操作空间之间的非线性映射;采用基于RBF的算法;通过最近邻聚类算法获取RBF中心;解决机器人的逆运动学问题;通过学习正解的训练样本来确定实例表明,该算法具有计算简单,求解有效等特点,避免了传统方法繁琐的推导过程,可以看作是运动轨迹跟踪控制器。串行机制系统。

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