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.
引用
收藏
页码:229 / 239
页数:10
相关论文
共 50 条
  • [31] Coarse-to-fine tuning knowledgeable system for boundary delineation in medical images
    Peng, Tao
    Wu, Yiyun
    Zhao, Jing
    Wang, Caishan
    Wang, Wenjie
    Shen, Yuntian
    Cai, Jing
    APPLIED INTELLIGENCE, 2023, 53 (24) : 30642 - 30660
  • [32] Automated microassembly task execution using vision-based feedback control
    Anis, Yasser H.
    Mills, James. K.
    Cleghorn, William L.
    2007 INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, 2007, : 477 - 482
  • [33] Coarse-to-fine tuning knowledgeable system for boundary delineation in medical images
    Tao Peng
    Yiyun Wu
    Jing Zhao
    Caishan Wang
    Wenjie Wang
    Yuntian Shen
    Jing Cai
    Applied Intelligence, 2023, 53 : 30642 - 30660
  • [34] Coarse-to-fine Malleable Pole/Residue Equivalent System Solver (COMPRESS)
    Avula, Venkatesh
    Zadehgol, Ata
    2016 IEEE ELECTRICAL DESIGN OF ADVANCED PACKAGING AND SYSTEMS (EDAPS) SYMPOSIUM, 2016, : 91 - 93
  • [35] C2F-3DToothSeg: Coarse-to-fine 3D tooth segmentation via intuitive single clicks
    Jiang, Xiaotong
    Xu, Benlian
    Wei, Mingqiang
    Wu, Ke
    Yang, Siyuan
    Qian, Longgen
    Liu, Ningzhong
    Peng, Qingjin
    Computers and Graphics (Pergamon), 2022, 102 : 601 - 609
  • [36] Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System
    Artner, Nicole
    Ion, Adrian
    Kropatsch, Walter
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS, 2009, 5702 : 1011 - +
  • [37] C2F-3DToothSeg: Coarse-to-fine 3D tooth segmentation via intuitive single clicks
    Jiang, Xiaotong
    Xu, Benlian
    Wei, Mingqiang
    Wu, Ke
    Yang, Siyuan
    Qian, Longgen
    Liu, Ningzhong
    Peng, Qingjin
    COMPUTERS & GRAPHICS-UK, 2022, 102 : 601 - 609
  • [38] Probing the role of the C2F domain of otoferlin
    Chen, Han
    Fang, Qinghua
    Benseler, Fritz
    Brose, Nils
    Moser, Tobias
    FRONTIERS IN MOLECULAR NEUROSCIENCE, 2023, 16
  • [39] TinyStereo: A Tiny Coarse-to-Fine Framework for Vision-Based Depth Estimation on Embedded GPUs
    Chang, Qiong
    Xu, Xin
    Zha, Aolong
    Er, Meng Joo
    Sun, Yongqing
    Li, Yun
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (08): : 5196 - 5208
  • [40] Coarse-to-fine segmentation and ensemble convolutional neural networks for automated pediatric bone age assessment
    Liu, Rui
    Zhu, Huazheng
    Wang, Lulu
    Han, Baoru
    Du, Jinglong
    Jia, Yuanyuan
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 75