AI Racing Tech
AI Racing Tech became the top–ranked US Team after the final race of the head–to–head Indy Autonomous Challenge at Texas Motor Speedway on November 11, 2023
Check out the recorded livestream at https://www.twitch.tv/indyachallenge
In the summer of 2023, UC Berkeley Allen Yang’s ROAR group assumed the position of Lead University within the AI Racing Tech Team. Building upon two years of successful collaboration with contributors from UH-Maui, UC San Diego, and Carnegie Mellon, this transition signified a changing of the guard while emphasizing the team’s commitment to continuity and progress in the field of AI racing technology.
The original AI Racing Tech (ART) team emerged from the UH-Maui class held in the spring of 2020, focused on Autonomous Vehicle Technology. The AVTech Class aimed to provide Maui students with hands-on knowledge and experience in Autonomous Vehicle Technology, covering architecture, structures, and the construction of scaled autonomous vehicles.
In 2021, ART expanded its horizons by welcoming student and faculty contributors from prestigious institutions, including UC San Diego, UC Berkeley, and Carnegie Mellon. This collaboration enriched the team’s capabilities and knowledge base.
In a remarkable achievement, in 2022, ART secured the 2nd position at the Indy Autonomous Challenge in Texas, establishing themselves as the leading American team in the competition. Building on this success, ART continued to shine, securing 3rd place in the 2023 Indy Autonomous Challenge at CES.
Despite the transition of leadership to UC Berkeley, the core team remains unaltered, ensuring that fans can expect to see their favorite members continuing to drive advancements in AI racing technology. Gary Passon’s ongoing role as AI Motorsports PI provides valuable leadership continuity, reinforcing the team’s dedication to technical excellence and innovation. Together, all four universities are committed to upholding a tradition of excellence and advancing the field, as evidenced by their remarkable journey and achievements.
Why We Race
In the Indy Autonomous Challenge, the teams race with purpose, pushing untested boundaries and driving research to ensure the highest caliber of safety for the future of commercial autonomy. Follow AI Racing Tech‘s journey into the 2023-2024 season alongside UC Berkeley College of Engineering, UC San Diego, Carnegie Mellon University, and the University of Hawai‘i System.
No driver, just software. Imagine driverless autonomous vehicles battling wheel to wheel for track position and podium success. All to help improve the performance and safety of vehicles of tomorrow.
Autonomous racing is the ultimate engineering challenge. The driver is replaced with a variety of sensors that act as the eyes and ears of the vehicle, feeding the data to a planning and control algorithm that students develop and tune.
The official vehicle of the Indy Autonomous Challenge is the Dallara-built AV-21 which has been retrofitted with hardware and controls to enable automation. The Dallara AV-21 chassis is a modified version of the Indy Lights chassis.