Ps22Pdf 关键词 : 机器人标定 ; 位姿误差 ; 运动学标定 ; 自标定 ; 逆标定 ; 神经网络 [gap=836]Key words: robot calibration; pose error; kinematics calibration; self-calibration; inverse calibration; neural network
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以6-T PS型并联机床为对象，研究了并联机床运动学标定方法。
The kinematics calibration method was studied based on the 6-TPS type Parallel Kinematics Machine(PKM).
为了提高并联机器人运动精度，提出了一种利用姿态约束的运动学标定方法。
A new calibration method using orientation constraint is presented to improve the accuracy of parallel robots.
关于变轴数控机床精度研究，目前绝大多数工作集中在精度分析和静态运动学标定方面。
With regard to accuracy studies on the variable-axes numerical control machine tool, at present, the primary attempts have been focused on accuracy analysis and static kinematic calibration.
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