Innovative Bidimensional Absolute Transducer Based on Video Detection for Positioning into Micro Assembly Processes

Abstract:

This paper explains and demonstrates a method to interconnect the video detection data flow with an innovative coded grid in order to precisely associate absolute coordinates to any scanned (micro) objects over a large area, without the aid of external bulky sensors. The concept of measuring micro-objects absolute coordinates is based on a series of coded information markings (micrometric terminal blocks) regularly and precisely printed on the bottom reference surface. In this manner the image processing could extract the values of the coded markings and precisely provide absolute coordinates for the camera image. The correspondence between the object and its absolute coordinates seems therefore straightforward. A very important challenge which must be solved is to read the information in real time, the method solving an optimization problem between the required processing speed and the maximum computing system resources. Finally it was obtained an innovative mechatronic system made of two essential sub-systems: the vision detection for micro-objects absolute reference positioning and characterization and a 3D micro-robotic translator for working space displacement. This system insured automatic scanning of micro-objects over large working spaces, detection process storing all specific information into a unique database file, which the operator can easily use to assign a set of automatic “pick-and-place” tasks for various micro assembly processes, as presented in the application example.

• Periodical: Applied Mechanics and Materials (Volume 658)
• Pages: 535-540
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.658.535
• Online since: October 2014
• Authors: Mihaita Ardeleanu*, Marius Ionita, Alexandru Ivan, Valentin Gurgu
• Keywords: Absolute Positioning, Actuator, Bidimensional Transducer, Mechatronics, Video Detection

References

[1] K. F. Bohringer, R. S. Fearing, and K. Y. Goldberg, "The Handbook of Industrial Robotics (chapter Microassembly), S. Y. Nof, Ed. Wiley &Sons, (1999).

[2] N. Dechev, W. L. Cleghorn, and J. K. Mills, "Construction of 3D MEMS microstructures using robotic microassembly, in Sensing and Manipulation of Micro and Nano Entities: Science, Engineering, and Applications, Workshop, International Conference on Robots and Intelligent Systems (IEEE/RSJ IROS 2003), (2003).

DOI: 10.1115/imece2003-42798

[3] M. B. Cohn, K. F. Boehringer, J. M. Noworolski, A. Singh, C. G. Keller, K. A. Goldberg, and R. T. Howe, Microassembly technologies for MEMS, in Proceedings of the SPIE Conference on Micromachined Devices and Components IV, A. B. Frazier and C. H. Ahn, Eds., vol. 3515, no. 1. SPIE, 1998, p.2.

DOI: 10.1117/12.322082

[4] Kemal Berk Yesin, Bradley J. Nelson, A CAD model based tracking system for visually guided microassembly, in Robotica (2005) volume 23, p.409–418.

DOI: 10.1017/s0263574704000840

[5] Q. Zhou, A. Aurelian, B. Chang, C. del Corral, and H. N. Koivo, Microassembly system with controlled environment, Journal of micromechtaronics vol. 2, p.227–248, (2002).

DOI: 10.1163/156856304773954304

[6] B. E. Kratochvil, K. B. Yes¸in, V. Hess, and B. J. Nelson, Design of a visually guided 6 DOF micromanipulator system for 3D assembly of hybrid MEMS, in Proceedings of the 4th International Workshop on Microfactories, October (2004).

[7] Vincent Hess, Processes and Tools for Robotic Microassembly, Diploma Thesis, Institute of Robotics and Intelligent Systems Swiss Federal Institute of Technology Zurich (ETH), 2004-07.

[8] Fearing, R. S, Survey of sticking effects for micro parts handling, Intelligent Robots and Systems 95. Human Robot Interaction and Cooperative Robots, Proceedings. 1995 IEEE/RSJ International Conference (Volume 2).

DOI: 10.1109/iros.1995.526162

[9] Amar Kumar Behera, Shiv G. Kapoor and Richard E. DeVor, A classification and coding system for micro-assembly, in Micro-Assembly Technologies and Applications IFIP — International Federation for Information Processing Volume 260, 2008, pp.37-53.

DOI: 10.1007/978-0-387-77405-3_4

[10] Kurniawan, I., Tichem, M., Bartek, M. (2006), Morphological Classification of Hybrid Microsystems Assembly, Proceedings of the Third International Precision Assembly Seminar, pp.133-148.

DOI: 10.1007/0-387-31277-3_14