Paper
30 September 2003 Micro-assembly cell with dual optical/computer vision control for electrostatic gripping of MEMS
Author Affiliations +
Proceedings Volume 5267, Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision; (2003) https://doi.org/10.1117/12.512641
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States
Abstract
This paper describes the development of a miniature assembly cell for microsystems. The cell utilizes a transparent electrostatic gripper allowing the use of computer vision for part alignment with respect to the gripper. Part to assembly alignment is achieved via optical triangulation using a fiber-coupled laser and a position sensitive detector (PSD). The system layout, principle of operation and design are described along with the visual and optical control algorithms and their implementation. Experimental measurements of the performance of the stage indicate normal and tangential gripping forces in the range of 0.03-2.5 mN and 1.-9. mN respectively. The visual search algorithm limits the feature tracking speed to 111ms /search. The alignment accuracy of the visual and optical proportional position feedback controls were determined to be ±7 μm and ±10 μm respectively.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eniko T. Enikov, Scott Clark, and Lyubomir Minkov "Micro-assembly cell with dual optical/computer vision control for electrostatic gripping of MEMS", Proc. SPIE 5267, Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision, (30 September 2003); https://doi.org/10.1117/12.512641
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Visualization

Visual optics

Optical alignment

Detection and tracking algorithms

Sensors

Data modeling

Computer vision technology

RELATED CONTENT

Video face swap with DeepFaceLab
Proceedings of SPIE (March 18 2022)
SORB: improve ORB feature matching by semantic segmentation
Proceedings of SPIE (October 04 2018)
Suggestive modeling for machine vision
Proceedings of SPIE (November 01 1992)
Visual target-object search using Gabor transform
Proceedings of SPIE (August 26 1999)
Structural identity in visual-perceptual recognition
Proceedings of SPIE (February 01 1991)

Back to Top