Computer science meets industrial robotics: a visual servoing project for a computer vision course

Authors:
Sebastian van Delden
Affiliations:
University of South Carolina Upstate, Spartanburg, SC
Venue:
Journal of Computing Sciences in Colleges
Year:
2010

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Abstract

This paper describes a visual servoing project that has been incorporated into a traditional upper-level computer vision course in a typical ABET accredited undergraduate computer science curriculum. Traditional computer vision concepts are reinforced in a hands-on industrial robotics setting where students implement a closed-loop vision algorithm using an industrial robotic arm. As industrial robotic arms and other technology become more readily available to academia, it should be investigated as to how this equipment can be integrated into a traditional computer science curriculum in order to: improve the quality of instruction; generate more interest in both fields of computer science and industrial robotics; and train a highly skilled manufacturing workforce.