C2F:自动化微装配的粗精视觉控制系统

Shashank Tripathi, D. Jain, H. Sharma
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引用次数: 0

摘要

在本文中,作者提出了一个完全自动化的系统来执行三维微操作和微组装任务的发展。微装配工作站包括一个3自由度(DOF) MM3A®微操作臂连接到微夹持器,两个2DOF PI®线性微运动平台,一个光学显微镜与CCD图像传感器耦合,以及两个用于粗视觉的ocmos相机。整个控制策略被细分为基于顺序视觉的程序:机械手检测和粗对准,微夹持器的自动对焦和精细对准,目标物体检测,以及执行所需的装配任务。一节比较各种物镜函数有用的自动对焦制度包括。控制系统完全建立在图像框架中,无需系统校准,从而提高了操作速度。一个微操作实验执行拾取和放置的微网格说明。这表明与手动操作相比,基本微操作任务的设置和运行时间减少了三倍。分析了程序系统的精度、重复性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
C2F: Coarse-to-Fine Vision Control System for Automated Microassembly
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. 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. 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. 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.
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