Our History
Competition History
The MIT team was started in 2018 as our three person shop in a shared MIT office. In just 18 months, we grew to 25+ students and placed 2nd and 3rd in world renowned competitions.
The team is currently working out of MIT’s Edgerton Center. We continue to scale and push the edges of the autonomous driving field. It’s been an incredible journey thus far and we would not have been able to accomplish it all without our strong industry partners, the amazing collaboration we have through MITT-PITT-RW, and most importantly the incredible group of students we’ve gathered to make it all a reality.
A2RL - Our Current Target
The Abu Dhabi Autonomous Racing League (A2RL) is an innovative motorsport series featuring AI-driven, driverless cars competing at the Yas Marina Formula 1 Circuit. A2RL aims to advance autonomous vehicle technology and inspire future STEM talent. The inaugural event in April 2024 saw eight international teams compete for a $2.25m prize pool. We aim to enter and race at A2RL in 2025!
Formula Student is the premier collegiate automotive engineering competition for 100+ teams from top universities. Formula Student teams design, build, test, and race electric and combustion cars. These vehicles trek on the edge of performance and have demonstrated record-setting acceleration and handling.
Formula Student Driverless (FSD) is a new competition category that challenges students to build a high-performance autonomous racecar. FSD is remarkably unique, in that it allows design across the entire stack: from the car’s chassis and electronics layout to high-level motion planning with state-of-the-art sensors and computing hardware.
The Indy Autonomous Challenge is a unique competition blending cutting edge robotics technologies with one of America’s favorite pastimes: racing. We hope this competition will raise awareness of autonomous vehicles to diverse audiences that have not been exposed to the subject, showcase the technology in the most demanding high-speed and competitive environment, and ultimately advance the state of autonomous technology.
