Automated Robotic Assembly of 3D Mesostructure via Guided Mechanical Buckling

Ying Cai, Zhonghao Han, Trey Cranney, Hangbo Zhao, Satyandra K. Gupta
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引用次数: 1

Abstract

We present an automated assembly approach to forming 3D mesostructures using guided mechanical buckling of patterned thin films. This task requires accurate positioning of mesostructures over large distances. We use an industrial robot with a high degree of repeatability and large reach. We utilize image-guided localization and positioning to enable accurate pick and place of mesoscale thin films, dispensing of nanoliter adhesive in targeted regions, and automatic 2D to 3D shape transformation via mechanical buckling. We achieved the positioning accuracy of 80 µm, as demonstrated in the example of automated mechanical assembly of 3D mesostructures. The positioning accuracy could be further improved by enhancing the positioning accuracy of the robot, increasing the image resolution and optimizing the assembly process. The use of industrial robots with image-guided localization and positioning provides potential opportunities for high-accuracy, low-cost, and complex robotic manipulation at meso- and microscale.
基于导向机械屈曲的三维细观结构自动化机器人装配
我们提出了一种自动组装的方法来形成三维细观结构,使用引导机械屈曲的图案薄膜。这项任务需要在远距离上精确定位细观结构。我们使用的是可重复性高、触及范围大的工业机器人。我们利用图像引导的定位和定位来实现中尺度薄膜的精确拾取和放置,在目标区域分配纳米升粘合剂,并通过机械屈曲自动进行2D到3D形状转换。我们实现了80µm的定位精度,如三维细观结构的自动化机械装配示例所示。通过提高机器人的定位精度、提高图像分辨率和优化装配工艺,可以进一步提高定位精度。使用具有图像引导定位和定位的工业机器人为高精度、低成本和复杂的中观和微观机器人操作提供了潜在的机会。
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