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Design and Evaluation of Collaborative Lab for Robot Programming

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2021 ASEE Virtual Annual Conference Content Access


Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Manufacturing Division Technical Session - Robotics and Manufacturing

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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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In recent years, remote laboratories have been used in engineering classes to overcome barriers such as equipment cost and limited lab time, and to provide authentic and self-paced learning experiences. With the rise of COVID-19, use of remote labs has increased. However, learning in isolation can be difficult. Collaborative remote labs can provide authentic and interactive learning experiences to address this challenge. This paper describes the design of team lab exercises using a Virtual Teaching Pendant developed to teach robot programming. The lab exercise was evaluated by 50 undergraduate students enrolled in a Manufacturing Automation and Robotics course in spring 2020. All teams were able to complete the assigned task. Results suggest that the time needed to complete the task varied depending on familiarity with robot anatomy and team synergy. Students overall responded positively to the collaborative lab experience and the virtual teaching pendant. For example, two students commented that “being able to visually see the robot moving as the pendant was being used” and “hands on experience at the comfort of home” were most helpful. Suggestions for improvement include changing the angle of camera and the color of the objects, and incorporating a remote coding component.

Hsieh, S. (2021, July), Design and Evaluation of Collaborative Lab for Robot Programming Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--36907

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