Hand-eye calibration of laser profile sensors is the process of extracting the homogeneous transformation between the laser profile sensor frame and the end-effector frame of a robot in order to express the data extracted by the sensor in the robot's global coordinate system. For laser profile scanners this is a challenging procedure, as they provide data only in two dimensions and state-of-the-art calibration procedures require the use of specialised calibration targets. This paper presents a novel method to extract the translation-part of the hand-eye calibration matrix with rotation-part known a priori in a target-agnostic way. Our methodology is applicable to any 2D image or 3D object as a calibration target and can also be performed in situ in the final application. The method is experimentally validated on a real robot-sensor setup with 2D and 3D targets.
翻译:激光剖面传感器的手视校准是提取激光剖面传感器框架和机器人的终端效应框架之间的同质转换过程,目的是表达该传感器在机器人的全球坐标系统中提取的数据。对于激光剖面扫描仪来说,这是一个具有挑战性的程序,因为它们只提供两个维度的数据,而最先进的校准程序要求使用专门校准目标。本文介绍了一种新型方法,用一个目标认知方式,用一个先行已知的旋转部分,提取手视校准矩阵的翻译部分。我们的方法适用于作为校准目标的任何2D图像或3D对象,也可以在最后应用中就地进行。这种方法在2D和3D目标的真正机器人传感器设置上进行了实验性验证。