C2F: Coarse-to-fine vision control system for automated microassembly

被引:0
|
作者
Tripathi S. [1 ]
Jain D.R. [2 ]
Sharma H.D. [3 ]
机构
[1] Robotics Institute, Carnegie Mellon University, Pittsburgh, PA
[2] Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Hyderabad
[3] Micro and Nano Assembly and Charac-terisation Lab, Central Electronics Engineering Research Institute (CSIR-CEERI), Pilani
来源
关键词
3D; Automation; Microassembly; Microengineering; Micromanipulation; Visual servoing;
D O I
10.2174/2210681208666180119143039
中图分类号
学科分类号
摘要
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. © 2019 Bentham Science Publishers.
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页码:229 / 239
页数:10
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