{"title":"C2F:自动化微装配的粗精视觉控制系统","authors":"Shashank Tripathi, D. Jain, H. Sharma","doi":"10.2174/2210681208666180119143039","DOIUrl":null,"url":null,"abstract":"\n\nIn this paper, authors present the development of a completely automated system\nto perform 3D micromanipulation and microassembly tasks. The microassembly workstation consists\nof a 3 degree-of-freedom (DOF) MM3A® micromanipulator arm attached to a microgripper, two 2\nDOF PI® linear micromotion stages, one optical microscope coupled with a CCD image sensor, and two\nCMOS cameras for coarse vision.\n\n\nThe whole control strategy is subdivided into sequential vision based routines: manipulator\ndetection and coarse alignment, autofocus and fine alignment of microgripper, target object detection,\nand performing the required assembly tasks. A section comparing various objective functions useful in\nthe autofocusing regime is included.\n\n\nThe control system is built entirely in the image frame, eliminating the need for system calibration,\nhence improving speed of operation. A micromanipulation experiment performing pick-and-place\nof a micromesh is illustrated.\n\n\n This demonstrates a three-fold reduction in setup and run time for fundamental micromanipulation\ntasks, as compared to manual operation. Accuracy, repeatability and reliability of the programmed\nsystem is analyzed.","PeriodicalId":18979,"journal":{"name":"Nanoscience & Nanotechnology-Asia","volume":"45 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"C2F: Coarse-to-Fine Vision Control System for Automated Microassembly\",\"authors\":\"Shashank Tripathi, D. Jain, H. Sharma\",\"doi\":\"10.2174/2210681208666180119143039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nIn this paper, authors present the development of a completely automated system\\nto perform 3D micromanipulation and microassembly tasks. The microassembly workstation consists\\nof a 3 degree-of-freedom (DOF) MM3A® micromanipulator arm attached to a microgripper, two 2\\nDOF PI® linear micromotion stages, one optical microscope coupled with a CCD image sensor, and two\\nCMOS cameras for coarse vision.\\n\\n\\nThe whole control strategy is subdivided into sequential vision based routines: manipulator\\ndetection and coarse alignment, autofocus and fine alignment of microgripper, target object detection,\\nand performing the required assembly tasks. A section comparing various objective functions useful in\\nthe autofocusing regime is included.\\n\\n\\nThe control system is built entirely in the image frame, eliminating the need for system calibration,\\nhence improving speed of operation. A micromanipulation experiment performing pick-and-place\\nof a micromesh is illustrated.\\n\\n\\n This demonstrates a three-fold reduction in setup and run time for fundamental micromanipulation\\ntasks, as compared to manual operation. Accuracy, repeatability and reliability of the programmed\\nsystem is analyzed.\",\"PeriodicalId\":18979,\"journal\":{\"name\":\"Nanoscience & Nanotechnology-Asia\",\"volume\":\"45 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nanoscience & Nanotechnology-Asia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/2210681208666180119143039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanoscience & Nanotechnology-Asia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2210681208666180119143039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.