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Geometry-based 6D-pose visual servoing system enabling accuracy improvements of industrial robots

机译:基于几何的6D姿态视觉伺服系统可提高工业机器人的精度

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Jointed arm robots inherit a vast number of beneficial features like flexibility of movement and repeatability in combination with low investment costs. However, one main drawback, which most often disqualifies these robots for tasks with high accuracy requirements, is their low absolute accuracy. Suitable methods to overcome this problem belong to the field of visual servoing. In this context a 6D-pose visual servoing system has been developed at FAPS institute, using off-the-shelf structured light projection sensor systems. Thereby, the workpiece geometry itself functions as reference object and hence no specialized markers are needed, as used in the state of the art. Additionally, the system contributes to a comprehensive compensation of cumulated geometrical errors, which are induced by the robot and the end-effector at the same time. As a byproduct of this added value, a method for determining the pose of virtual coordinate systems has been developed, allowing an accurate calibration and measurement of system components relative to each other. The effectiveness of the researched methods has been validated in course of experimental investigations, which show a good absolute accuracy of the 6D-pose correction in combination with a very high repeatability.
机译:关节手臂机器人继承了许多有益的功能,例如运动的灵活性和可重复性以及较低的投资成本。但是,最主要的缺点是绝对精度低,这通常会使这些机器人无法胜任具有较高精度要求的任务。解决该问题的合适方法属于视觉伺服领域。在这种情况下,FAPS研究所使用现成的结构化光投射传感器系统开发了6D姿态视觉伺服系统。由此,工件几何形状本身用作参考对象,因此,如在现有技术中所使用的,不需要专门的标记。此外,该系统有助于全面补偿由机器人和末端执行器同时引起的累积几何误差。作为该附加值的副产品,已经开发出一种用于确定虚拟坐标系的姿态的方法,该方法允许相对于彼此精确地校准和测量系统组件。在实验研究过程中已验证了所研究方法的有效性,这些结果显示了6D姿态校正的良好绝对精度以及非常高的可重复性。

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