Automated precision assembly through neurovision

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.