Automated Precision Assembly Through Neuro-vision

Author

Mahesh Vellanki
Cihan H. Dagli, Missouri University of Science and TechnologyFollow

Abstract

In this study an intelligent control architecture is proposed for recognition and diagnosis of digital images captured by the vision system to control the robot manipulator in automated precision assembly. The architecture proposed provides enough flexibility to the assembly cell in processing wide variety of products that require precision assembly. The system uses ART paradigm for part recognition and backpropagation for calibration. System architecture is tested using an IBM 7547 robot with a CCD camera for precision assembly of a printed circuit board (PCB) and satisfactory results are obtained.

Recommended Citation

M. Vellanki and C. H. Dagli, "Automated Precision Assembly Through Neuro-vision," Proceedings of SPIE - The International Society for Optical Engineering, vol. 1709, pp. 493 - 504, Society of Photo-optical Instrumentation Engineers, Sep 1992.

The definitive version is available at https://doi.org/10.1117/12.140028

Department(s)

Engineering Management and Systems Engineering

International Standard Serial Number (ISSN)

1996-756X; 0277-786X

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2023 Society of Photo-optical Instrumentation Engineers, All rights reserved.

Publication Date

16 Sep 1992