A new inferential method for inverse kinematics equation of MOTOMAN manipulators was presented, and efficient solutions of inverse kinematics problem were given.
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 revolute joint pneumatic manipulators was presented, and efficient solution of inverse kinematics problem was also given.
提出了一种新的推导回转关节型多自由度气动机械手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 lot of experience data are used to define characteristic parameters, and analytical methods are adopted to solve inverse kinematics problem.
方法在定义运动的特征参量时利用了大量的经验数据，并且采用解析的方法求解逆运动学问题。
While setting up mathematics model of kinematics, inverse problem against kinematics is to give out the position and pose of manipulator based on the base coordinates and solve its joint variable.
在建立运动学数学模型时，运动学逆问题是给出操作器相对于基坐标系的位置和姿态，求解其关节变量。
The inverse kinematics of general 6R serial robot is a central problem in theory and practice.
一般6R机器人的位置逆解具有非常重要的理论与实际意义。
Neural network is used in this paper to solve the problem of kinematics and inverse kinematics in kinematical control of spatial redundant robots.
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。
Additionally, the inverse kinematics problem in real time conditions has been solved by DSP technique.
另外由于借助了DSP技术，很好地解决了机构运动学反解的实时计算问题。
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.
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。
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.
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。
The inverse kinematics of 6 DOF manipulator is one of the main concerns and difficult problem in robotics.
六自由度串联机械手的位置逆解问题一直是机器人学研究领域的难点和热点之一。
The inverse kinematics of 6 DOF manipulator is one of the main concerns and difficult problem in robotics.
六自由度串联机械手的位置逆解问题一直是机器人学研究领域的难点和热点之一。
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