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.
要满足机器人精确定位的要求，需对机器人逆运动学及其控制问题和定位误差补偿等问题进行研究。
To meet the demand of robot pinpoint, research must be carried out on inverse kinematics of robot and it's controlling problem and compensation for location error.
提出了一种新的推导MOTOMAN型机器人逆运动学方程的方法，进而给出逆运动问题新的求解方法。
A new inferential method for inverse kinematics equation of MOTOMAN manipulators was presented, and efficient solutions of inverse kinematics problem were given.
对可重构模块化机器人逆运动学，我们采用局部指数乘积公式和微分运动学公式而建立的逆运动学数学模型。
The inverse kinematics model of reconfigurable modular robots is based on the local product-of-exponential formulas and differential kinematics equations.
首先运用偏微分扩散方程，只需少量的试验运动即可求解在有限作业空间上拥有同样拓扑关系的机器人逆运动学变换。
First a partial differential diffusion equation is applied to solve the inverse map of robots which can keep the topology conserving performance during mapping.
针对一个教学型多关节机器人的机械特点，不用一般的齐次转换的方法而是用简单的笛卡儿几何的方法解决了其运动学逆问题。
Aiming at the mechanism character of a multi axes robot the location kinematics negative problem was solved by simple Descartes geometry instead of general matrix transform.
针对一个教学型多关节机器人的机械特点，不用一般的齐次转换的方法而是用简单的笛卡儿几何的方法解决了其运动学逆问题。
Aiming at the mechanism character of a multi axes robot, the location kinematics negative problem was solved by simple Descartes geometry instead of general matrix transform.
针对空间冗余机器人运动学控制中正、逆运动学求解的复杂性，采用神经网络从两方面解决这一问题。
Neural network is used in this paper to solve the problem of kinematics and inverse kinematics in kinematical control of spatial redundant robots.
然后，本文探讨了机器人运动学正逆解求解方法和伺服电机控制算法，详细地讨论了其中的PID算法。
Then the paper discusses method of robot's kinematics and inverse kinematics and robot's control arithmetic mostly about PID control.
讨论了一种四自由度机器人运动学模型的建立问题，在此基础上给出了该机器人运动学正解和运动学逆解的简化求解方法，简化了求解过程，大大减少了计算量。
The paper introduces kinematics modeling for a kind of four degrees of freedom robot and gains the robots forward kinematics and inverse kinematics by using a simplified method based on this.
探讨了BP网络在MOTOMAN机器人运动学逆解中的应用。
This paper discusses the application of the BP network in inverse kinematics of MOTOMAN manipulator.
并将其应用于两自由度机器人的逆运动学建模中，仿真结果表明了该方法的有效性。
Then, parameters selection method of LS-SVR was proposed based on adaptive immune algorithm (AIA) plus 5-fold cross validation, which was applied to inverse kinematics modeling of 2DOF robot.
以机器人运动学方程为基础，基于变换矩阵中旋转子矩阵正交的特性，提出一种6r机器人运动学逆解算法。
Based on the kinematics equation and the orthogonal character of the rotation sub-matrix in a transformation matrix, an approach to the inverse kinematics problem of 6r robots is proposed.
给出了机器人的运动学正解和逆解，提出了一套机构简化方案，完成了机器人的各种手臂姿态规划，分析了存在的运动干涉约束。
The forward kinematics solution and inverse kinematics solution are given and a set of robot mechanism simplification procedures are put forward.
建立了悬索柔性机器人系统的逆运动学模型 ；
The authors build the inverse kinematics model of the flexible macro manipulator system.
本文在D -H齐次变换矩阵的基础上，对焊接机器人进行运动学逆解。
An inverse kinematics analysis of the designed welding-robot based on D-H displacement transformation matrix was put forward.
对HP99型堆垛机器人进行了正运动学和逆运动学问题的分析，分别求出了正运动学解和逆运动学解。
This paper analyses the verse and inverse kinematics of HP99 stacker robot and solves these two problems.
分析了一种三杆五自由度并联机床机器人运动学问题，给出了其运动学正逆解位置方程，并对并联机床的速度及加速度求解进行了定性分析。
The degree of a 3-legged in parallel kinematics machine tool is analyzed. Its positive and inverse kinematics is presented and its velocity and accelerate were qualitative analyzed.
分析了一种三杆五自由度并联机床机器人运动学问题，给出了其运动学正逆解位置方程，并对并联机床的速度及加速度求解进行了定性分析。
The degree of a 3-legged in parallel kinematics machine tool is analyzed. Its positive and inverse kinematics is presented and its velocity and accelerate were qualitative analyzed.
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