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Nanoscience & Nanotechnology-Asia

Editor-in-Chief

ISSN (Print): 2210-6812
ISSN (Online): 2210-6820

Research Article

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

Author(s): Shashank Tripathi*, Devesh R. Jain and Himanshu D. Sharma

Volume 9, Issue 2, 2019

Page: [229 - 239] Pages: 11

DOI: 10.2174/2210681208666180119143039

Price: $65

Abstract

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.

Keywords: Micromanipulation, microassembly, automation, 3D, visual servoing, microengineering.

Graphical Abstract
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