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C2F: Coarse-to-Fine Vision Control System for Automated Microassembly

机译:C2F:用于自动化微包装的粗孔视觉控制系统

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Introduction: In this paper, authors present the development of a completely automated system to perform 3D micromanipulation and microassembly tasks. The microassembly workstation consists of a 3 degree-of-freedom (DOF) MM3A micromanipulator arm attached to a microgripper, two 2 DOF PI linear micromotion stages, one optical microscope coupled with a CCD image sensor, and two CMOS cameras for coarse vision. Methods: The whole control strategy is subdivided into sequential vision based routines: manipulator detection and coarse alignment, autofocus and fine alignment of microgripper, target object detection, and performing the required assembly tasks. A section comparing various objective functions useful in the autofocusing regime is included. Results: The control system is built entirely in the image frame, eliminating the need for system calibration, hence improving speed of operation. A micromanipulation experiment performing pick-and-place of a micromesh is illustrated. Conclusion: This demonstrates a three-fold reduction in setup and run time for fundamental micromanipulation tasks, as compared to manual operation. Accuracy, repeatability and reliability of the programmed system is analyzed.
机译:简介:在本文中,作者展示了一种完全自动化系统的开发,以执行3D微扫描和微包装任务。微包装成形工作站包括3自由度(DOF)MM3A微操纵器臂,其连接到微型电动器,两个2 DOF PI线性微型微调级,与CCD图像传感器耦合的一个光学显微镜,以及用于粗视觉的两个CMOS相机。方法:整个控制策略被细分为基于顺序视觉的例程:操纵器检测和粗校准,自动对准,微孔电压和微观对准,靶象对象检测以及执行所需的装配任务。包括比较可用于自动聚焦制度的各种目标函数的部分。结果:控制系统完全在图像框架中构建,无需系统校准,从而提高了操作速度。说明了执行微马力的拾取和放置的微操矩实验。结论:与手动操作相比,这证明了对基本微操矩任务的设置和运行时的三倍降低。分析了编程系统的准确性,可重复性和可靠性。

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