Our Indy Autonomous team is a collective of four universities - University of Hawaii, UC San Diego, UC Berkeley & Carnegie Mellon University. The race takes place all over the world with 9 international teams participating. The team finished in 2nd place in November 22’ and in 3rd place in January 23’ at the Las Vegas Motor speedway.

F1Tenth was founded by a cohort of professors from the University of Pennsylvania to foster interest, excitement, and critical thinking about the field of autonomous racing. To promote participation, teams compete with RC like cars, approximately 1/10th the scale of a formula student car. Carnegie Autonomous Racing participated in this race for the first time in February 2022.

Inspired by the Formula Student Automotive Engineers collegiate engineering competition, Formula Student Driverless challenges students to design and build an autonomous formula-style car.

Learn to Race was founded in 2020 as a capstone project for CMU Masters and Ph.D. students. The intention was to build an OpenAI gym compliant, multimodal control environment. The project’s success led the team to publish whitepapers, present research across international conferences, build a virtual racing simulator to apply reinforcement learning techniques, and host an annual Virtual Autonomous Racing Challenge with over 300 participating teams.