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Artificial Neural Networks Applied in the Solution of the Inverse Kinematics Problem of a 3D Manipulator Arm

机译:人工神经网络在解决3D机械臂逆运动学问题中的应用

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This paper approaches the classic problem of robotics' Inverse Kinematics. This problem does not have a trivial solution due its solution complexity, in addition to multiple solutions for the same final position of the robotic actuator. The number of solutions increases with the number of degrees of freedom In this context, the goal of this paper is to present a solution to this problem through the application of an Artificial Neural Network (ANN) in a robotic arm with 4 degrees of freedom in three dimensions. Initial results with a set of seven points using two different ANN configurations were convincing.
机译:本文探讨了机器人逆运动学的经典问题。除了针对机器人致动器的相同最终位置的多种解决方案之外,由于其解决方案复杂性,该问题没有一个简单的解决方案。解决方案的数量随自由度的增加而增加。在这种情况下,本文的目的是通过在具有4个自由度的机器人手臂中应用人工神经网络(ANN)来提出该问题的解决方案。三个维度。使用两种不同的ANN配置得到的七个点的初始结果令人信服。

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