You, Y. (2016, June), Introducing Robotics Vision System to a Manufacturing Robotics Course  Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25457

\bibitem{asee_peer_25457}
  You, Y. (2016, June), \emph{Introducing Robotics Vision System to a Manufacturing Robotics Course}
  Paper presented at 2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana.
  10.18260/p.25457

Yuqiu You.  "Introducing Robotics Vision System to a Manufacturing Robotics Course".  2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016, June.  ASEE Conferences, 2016.  https://strategy.asee.org/25457 Internet.  01 Jul, 2024

\bibitem{asee_peer_25457}
  Yuqiu You.
  "Introducing Robotics Vision System to a Manufacturing Robotics Course".
  \emph{2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana, 2016, June}.
  ASEE Conferences, 2016.
  https://strategy.asee.org/25457 Internet.  01 Jul, 2024

@INPROCEEDINGS{asee_peer_25457
author = "Yuqiu You"
title = "Introducing Robotics Vision System to a Manufacturing Robotics Course"
booktitle = "2016 ASEE Annual Conference \& Exposition"
year = "2016"
month = "June"
address = "New Orleans, Louisiana"
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/25457}
number = {10.18260/p.25457}
}

TY  - CPAPER
AB  - Introducing Robotics Vision System to a
Manufacturing Robotics Course
Manufacturing systems are becoming more autonomous, requiring less operator intervention in daily operations. This is a consequence of today’s market conditions, characterized by global competition, a strong pressure for better quality at lower prices, and products defined in part by the end-user. Industrial robots are good examples of flexible manufacturing systems. Manufacturing engineers need to integrate other technologies with the objective of extracting from robots the flexibility they can offer.
Vision systems have been introduced and implemented on industrial robots to improve productivity and flexibility of manufacturing systems. Some typical applications with vision systems are work piece identification, work piece positioning, work piece dimension measurement, position compensation, surface painting, and vision tracking. Therefore, there is a need to introduce vision system technology to students in the Manufacturing Engineering Technology program.
This paper will describe the course design and lab activity setup to bring vision system technology in a mid-level robotics course for students in the Manufacturing Engineering Technology program. A learning module of vision systems has been developed, the topics include types of images, image acquisition techniques, image processing techniques, image averaging and frequency analysis, moment calculation, system setup, introduction to 2D vision system configuration, and programming. A lab activity module of vision systems with a Fanuc robot has been designed to provide hands-on experience to students. The paper will demonstrate the hardware and software components of the vision system integration, camera calibration, software configuration, system communication and programming methods that students will learn and practice with the robot vision system. Students will be able to develop and implement a manufacturing robotics application with a 2D vision system integrated in the final lab project. Students also are required to compare the different vision system technologies, understand their advantages and disadvantages, and know the key issues and technology challenges in developing and implementing vision systems in manufacturing robotics applications.
The paper will provide assessment methods and outcome analysis on the topic and technology introduced. Problems and issues will also be further discussed.
AU  - Yuqiu You
CY  - New Orleans, Louisiana
DA  - 2016/06/26
PB  - ASEE Conferences
TI  - Introducing Robotics Vision System to a Manufacturing Robotics Course
UR  - https://strategy.asee.org/25457
DO  - 10.18260/p.25457
ER  -