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Dynamic photogrammetric calibration of industrial robots

机译:工业机器人的动态摄影测量校准

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Abstract: Today's developments in industrial robots focus on aims like gain of flexibility, improvement of the interaction between robots and reduction of down-times. A very important method to achieve these goals are off-line programming techniques. In contrast to conventional teach-in-robot programming techniques, where sequences of actions are defined step-by- step via remote control on the real object, off-line programming techniques design complete robot (inter-)action programs in a CAD/CAM environment. This poses high requirements to the geometric accuracy of a robot. While the repeatability of robot poses in the teach-in mode is often better than 0.1 mm, the absolute pose accuracy potential of industrial robots is usually much worse due to tolerances, eccentricities, elasticities, play, wear-out, load, temperature and insufficient knowledge of model parameters for the transformation from poses into robot axis angles. This fact necessitates robot calibration techniques, including the formulation of a robot model describing kinematics and dynamics of the robot, and a measurement technique to provide reference data. Digital photogrammetry as an accurate, economic technique with realtime potential offers itself for this purpose. The paper analyzes the requirements posed to a measurement technique by industrial robot calibration tasks. After an overview on measurement techniques used for robot calibration purposes in the past, a photogrammetric robot calibration system based on off-the- shelf lowcost hardware components will be shown and results of pilot studies will be discussed. Besides aspects of accuracy, reliability and self-calibration in a fully automatic dynamic photogrammetric system, realtime capabilities are discussed. In the pilot studies, standard deviations of 0.05 - 0.25 mm in the three coordinate directions could be achieved over a robot work range of 1.7 $MUL 1.5 $MUL 1.0 m$+3$/. The realtime capabilities of the technique allow to go beyond kinematic robot calibration and perform dynamic robot calibration as well as photogrammetric on-line control of a robot in action.!10
机译:摘要:当今工业机器人的发展集中在诸如获得灵活性,改善机器人之间的交互性以及减少停机时间等目标上。离线编程技术是实现这些目标的一种非常重要的方法。与传统的机器人自学习编程技术不同,在传统的机器人自学习编程技术中,通过对真实对象的远程控制逐步定义动作序列,而离线编程技术则在CAD / CAM中设计完整的机器人(交互)动作程序环境。这对机器人的几何精度提出了很高的要求。尽管示教模式下机器人姿势的可重复性通常优于0.1毫米,但由于公差,偏心率,弹性,游隙,磨损,负载,温度和不足,工业机器人的绝对姿势精度潜力通常要差得多。从姿势到机器人轴线角度转换的模型参数知识。这一事实需要机器人校准技术,包括制定描述机器人运动学和动力学的机器人模型,以及提供参考数据的测量技术。为此,数字摄影测量法是一种具有实时潜力的准确,经济的技术。本文分析了工业机器人校准任务对测量技术的要求。在概述了过去用于机器人校准的测量技术后,将展示基于现成的低成本硬件组件的摄影测量机器人校准系统,并讨论试点研究的结果。除了在全自动动态摄影测量系统中的准确性,可靠性和自校准方面,还讨论了实时功能。在试点研究中,在1.7 $ MUL 1.5 $ MUL 1.0 m $ + 3 $ /的机器人工作范围内,可以在三个坐标方向上实现0.05-0.25 mm的标准偏差。该技术的实时功能不仅可以进行运动学机器人校准,还可以执行动态机器人校准以及对正在运行的机器人进行摄影测量的在线控制。!10

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