Accurate prediction of interception positions for catching thrown objects in production systems

D. Barteit, H. Frank, F. Kupzog
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引用次数: 18

Abstract

This work aims to optimize transportation processes in production by throwing objects between the working stations instead of transporting them on conveyed belts. One aspect of this new approach is the accurate prediction of interception positions of thrown objects with the catching robot. In a first step, this work analyzes the variation of the flight trajectories to specify the requirements for an appropriate catching-device. Several objects were thrown by a throwing-device and the range of their passages through a gate similar to the portal of the proposed gantry robot for object catching were measured. The second and main part of this work deals with calculating the objectpsilas position in flight and accurately predicting a point of interception with the catching robot. The proposed prediction model for interception positions bases on two inputs: the starting angles extracted from observations of a single camera and the speed of the object measured by two light barriers. The model is precise enough in respect to the size of the gripper of the catching robot.
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准确预测在生产系统中捕捉投掷物体的拦截位置
这项工作旨在优化生产中的运输过程,通过在工位之间投掷物品,而不是在输送带上运输。这种新方法的一个方面是用捕捉机器人准确预测被抛物体的拦截位置。在第一步,这项工作分析了飞行轨迹的变化,以指定适当的捕获装置的要求。用投掷装置投掷几个物体,并测量了它们通过与所提出的龙门机器人的入口相似的门的通道范围。本工作的第二部分和主要部分涉及计算目标在飞行中的位置,并与捕捉机器人准确预测拦截点。提出了基于两个输入的拦截位置预测模型:由单个摄像机观测提取的起始角度和由两个光屏障测量的目标速度。该模型在捕捉机器人的抓手尺寸方面是足够精确的。
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