16 September 1992 Automated precision assembly through neurovision
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Proceedings Volume 1709, Applications of Artificial Neural Networks III; (1992); doi: 10.1117/12.140028
Event: Aerospace Sensing, 1992, Orlando, FL, United States
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 a 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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mahesh K. Vellanki, Cihan H. Dagli, "Automated precision assembly through neurovision", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.140028; https://doi.org/10.1117/12.140028
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KEYWORDS
Cameras

Neural networks

Image processing

Artificial neural networks

Assembly tolerances

Control systems

Pattern recognition

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