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Development of Remote Virtual Teach Pendant for Robot Programming: Lessons Learned

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

Manufacturing Division Technical Session 1

Tagged Division

Manufacturing

Page Count

12

DOI

10.18260/1-2--32660

Permanent URL

https://strategy.asee.org/32660

Download Count

24

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Paper Authors

biography

Sheng-Jen Hsieh Texas A&M University

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Dr. Sheng-Jen (“Tony”) Hsieh is a Professor in the College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufacturing. He is also the Director of the Rockwell Automation laboratory at Texas A&M University, a state-of-the-art facility for education and research in the areas of automation, control, and automated system integration.

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Abstract

Programming an Industrial robot using a teaching pendant is a commonly used and inexpensive approach. However, the cost of robots and large class sizes are challenges that prohibit students from gaining sufficient practice in robot programming. There is an urgent need for engineers with robot programming in their skill set. This paper describes the development of a virtual pendant and web server that enables students to program a robot remotely from any computer with Internet access. The system was evaluated by undergraduate students at two- and four-year institutions and by instructors attending a workshop on developing remote laboratories. Survey results suggest that the virtual pendant is very useful for learning robot programming; students would like to have more tools like this to enhance their life-long learning; and the interface is user friendly and easy to manipulate. Future directions include installation of more webcams to provide different views of the robot position and/or development of a real-time 3D model to show the robot position within the work envelope.

Hsieh, S. (2019, June), Development of Remote Virtual Teach Pendant for Robot Programming: Lessons Learned Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32660

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