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Designing a versatile robot framework for undergraduate robotics education

Conference

2025 ASEE Annual Conference & Exposition

Location

Montreal, Quebec, Canada

Publication Date

June 22, 2025

Start Date

June 22, 2025

End Date

August 15, 2025

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 6

Tagged Division

Multidisciplinary Engineering Division (MULTI)

Page Count

17

DOI

10.18260/1-2--56235

Permanent URL

https://peer.asee.org/56235

Download Count

21

Paper Authors

biography

Jana Pavlasek Polytechnique Montreal

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Jana Pavlasek is an Assistant Professor at Polytechnique Montréal. She earned her PhD in Robotics at the University of Michigan. Her research interests include robotic perception and planning under uncertainty and robot learning.

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biography

Broderick Charles Riopelle University of Michigan

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Brody Riopelle is a robotics engineering technician at the University of Michigan, working on developing robots and software systems for undergraduate education. He graduated with a degree in Computer Engineering from the University of Michigan.

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biography

Abhishek Narula University of Michigan

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Abhishek Narula is an engineer, artist and educator at the Department of Robotics and the University of Michigan.

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biography

Shaw Sun University of Michigan

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Shaw Sun is a Research and Development Engineer in the Robotics Department at the University of Michigan. She earned a Master’s degree in Robotics from the University of Michigan and a Bachelor’s degree in Computer Science from Rutgers University. She focuses on developing MBot systems and enjoys exploring innovative techniques in robotics.

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biography

Peter Gaskell University of Michigan Robotics Department

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Peter Gaskell is a faculty member in the University of Michigan’s Robotics Department, where he has spent the past decade designing and delivering hands-on curricula in robotics, embedded systems, controls, and SLAM. He led creation of the open-source MBot educational robotics platform and numerous other platforms to make advanced robotics accessible and scalable. Peter’s scholarship focuses on low-cost sensor fusion and lightweight SLAM for resource-constrained platforms. Recognized with the College of Engineering’s Teaching Innovation Award, he continues to build inquiry-driven learning environments that lower barriers to advanced robotics in graduate and undergraduate education.

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