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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-POSE Visual Serving系统,可实现工业机器人的准确性改进

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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:连接臂机器人继承了大量的有益特征,如具有低投资成本的运动和可重复性的灵活性。然而,一个主要缺点,最常将这些机器人拒收具有高精度要求的任务,是它们的绝对精度低。克服这个问题的合适方法属于视野伺服领域。在此上下文中,在FAPS研究所开发了6D-Pose Visual Serving系统,使用了现成的结构光投影传感器系统。由此,工件几何形状本身用作参考物体,因此不需要在现有技术中使用的专门标记。另外,该系统有助于综合补偿累积的几何误差,该误差同时由机器人和末端效应器引起。作为这种附加值的副产品,已经开发了一种确定虚拟坐标系姿势的方法,允许准确地校准和测量系统组件相对于彼此的校准和测量。在实验研究中已经验证了研究方法的有效性,其表现出6D姿态校正的良好绝对精度,与非常高的可重复性。

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