Learning and Education of Machine Learning for Undergraduate Robotics

Pyorre, Tuomas; McKeen, Andrew; Andrews, Molly

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Learning and Education of Machine Learning for Undergraduate Robotics

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Despite an undergraduate curriculum focused on in-demand robotics topics, Worcester Polytechnic Institute (WPI) does not offer sufficient courses for students to learn about machine learning (ML) in relation to robotics. We developed educational modules where students apply ML theory, including transfer learning, optimization techniques, and reinforcement learning to robotic systems to develop potential course material. The modules were modified into workshops for testing with students. We evaluated the modules’ effectiveness by comparing students’ perceived confidence and ability in select topics before and after completing a workshop. After completion, students felt more confident in their understanding of higher-level concepts in ML, but still required support to apply them.

This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

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