本文提出了一种基于神经网络改进算法的机器人逆运动学的求解方法。
A new method of solving inverse kinematics of robots based on improvement of neural networks is presented in this paper.
本文提出了一种具有球形腕的冗余度机器人逆运动学实时解的新方法。
A new method is presented for real -time inverse kinematics of redundant manipulators with spherical wrist.
为提高一般6r机器人逆运动学算法的精度和效率，提出一种基于符号运算和矩阵分解的优化算法。
In order to improve the accuracy and efficiency of the inverse kinematics algorithm for general 6r robots, an optimized algorithm was proposed based on symbolic processing and matrix decomposition.
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