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.
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。
To improve the efficiency of symbolic recognition and enhance the robustness of identification methods, a symbol recognition method based on the characteristics of the centroid is presented.
为提高面结构光检测中符号识别效率和增强识别方法的鲁棒性，提出了一种基于形心特征面结构光符号识别方法。
Results indicate that the symbolic operation wais a helpful efficiency-amplifier for satellite gravity research that was characterized by a complicated formula system.
实验结果表明，计算机符号运算对于公式体系繁杂的卫星重力学理论研究来说具有极大的增效作用。
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