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Modelling and Calibration Technique of Laser Triangulation Sensors for Integration in Robot Arms and Articulated Arm Coordinate Measuring Machines

机译:集成在机器人手臂和关节臂坐标测量机中的激光三角测量传感器的建模和校准技术

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A technique for intrinsic and extrinsic calibration of a laser triangulation sensor (LTS) integrated in an articulated arm coordinate measuring machine (AACMM) is presented in this paper. After applying a novel approach to the AACMM kinematic parameter identification problem, by means of a single calibration gauge object, a one-step calibration method to obtain both intrinsic—laser plane, CCD sensor and camera geometry—and extrinsic parameters related to the AACMM main frame has been developed. This allows the integration of LTS and AACMM mathematical models without the need of additional optimization methods after the prior sensor calibration, usually done in a coordinate measuring machine (CMM) before the assembly of the sensor in the arm. The experimental tests results for accuracy and repeatability show the suitable performance of this technique, resulting in a reliable, quick and friendly calibration method for the AACMM final user. The presented method is also valid for sensor integration in robot arms and CMMs.
机译:本文提出了一种用于集成在关节臂坐标测量机(AACMM)中的激光三角测量传感器(LTS)的内部和外部校准技术。在对AACMM运动学参数识别问题采用了一种新颖的方法之后,借助一个校准标尺对象,就可以通过一步校准方法来获取固有的(激光平面,CCD传感器和照相机几何形状)以及与AACMM主要相关的外部参数框架已经开发。这样就可以集成LTS和AACMM数学模型,而无需在事先进行传感器校准之后采用其他优化方法,通常在将传感器组装到手臂之前,先在坐标测量机(CMM)中完成。准确性和可重复性的实验测试结果表明了该技术的适当性能,从而为AACMM最终用户提供了可靠,快速且友好的校准方法。所提出的方法对于机器人手臂和CMM中的传感器集成也是有效的。

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