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Edition:Final Report (July 1, 2023-June 30, 2024)
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Abstract:Contribution: An autonomous vehicle hardware platform, called F1TENTH, is developed for teaching autonomous systems hands-on. This project will design and develop the education modules and software stack for teaching at various educational levels with the theme of ``racing" and competitions that replace exams. Background: College-level robotics courses often focus on theory, while most hardware platforms for robotics teaching are low-level toys aimed at younger students at middle-school levels. The F1TENTH robotic race car fills the gap between research platforms and low-end toy cars and offers the hands-on experience in learning the topics in autonomous systems. Intended Outcomes: The F1TENTH vehicles offer a modular hardware platform and its related software for teaching the fundamentals of autonomous driving algorithms. From basic reactive methods to advanced planning algorithms, the teaching modules enhance students' computational thinking through autonomous driving with the F1TENTH vehicle. Application Design: Over 80 universities have adopted the teaching modules for their semester-long undergraduate and graduate courses for multiple years. Student feedback is used to analyze the effectiveness of the F1TENTH platform. This project's focus is to maintain and grow this community through education, outreach and K-12 training events. Findings: More than 80% of the students strongly agree that the hardware platform and modules greatly motivate their learning, and more than 70% of the students strongly agree that the hardware enhanced their understanding of the subjects. The survey results show that more than 80% of the students strongly agree that the competitions motivate them for the course.
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