Laboratory for Laser Techniques, Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva cesta 6, 1000 Ljubljana, Slovenia.
Yaskawa Slovenija d.o.o., Lepovče 23, 1310 Ribnica, Slovenia.
Sensors (Basel). 2021 Feb 3;21(4):1037. doi: 10.3390/s21041037.
A method for simultaneous laser profilometer and hand-eye calibration in relation to an industrial robot as well as its implementation is presented. In contrast to other methods, the new calibration procedure requires the measurement of only one reference geometry to calculate all the transformation parameters. The reference geometry is measured with a laser profilometer from 15 different poses. The intrinsic parameters of the profilometer, as well as the extrinsic (hand-eye) parameters, are then numerically optimized to achieve the minimum deviation between the reference and the measured geometry. The method was characterized with experiments that revealed a standard deviation of the displacements between the reference geometry after the calibration of less than 0.105 mm in the case of using the robot-arm actuator and 0.046 mm in case of using a 5-axis CNC milling machine. The entire procedure, including measurement and calculation, can be completely automated and lasts less than 10 min. This opens up possibilities for regular on-site recalibration of the entire system.
介绍了一种与工业机器人相关的激光轮廓仪和手眼标定的同步方法及其实现。与其他方法相比,新的标定过程只需要测量一个参考几何形状来计算所有的变换参数。参考几何形状由激光轮廓仪从 15 个不同的位姿进行测量。然后对轮廓仪的固有参数以及外部(手眼)参数进行数值优化,以实现参考几何形状和测量几何形状之间的最小偏差。该方法通过实验进行了特征描述,结果表明,在校准后,使用机器人臂执行器的情况下,参考几何形状的位移标准偏差小于 0.105 毫米,而使用 5 轴数控机床的情况下则小于 0.046 毫米。整个过程包括测量和计算,可以完全自动化,耗时不到 10 分钟。这为整个系统的定期现场重新标定提供了可能性。