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 11th
Check out the recorded livestream at https://www.twitch.tv/indyachallenge
UC Berkeley to Lead AI Racing Tech
In the Summer of 2023, after two years of successful and rich collaboration, in a continuation of this collaborative spirit, UC Berkeley under Allen Yang's ROAR group has agreed to take on the role of the Lead University in the AI Racing Tech Team. This transition marks a pivotal moment as the team acknowledges a changing of the guard.
However, it's important to note that while leads are changing, the core team remains unchanged. With an appointment through UC Berkeley, UH's Gary Passon will remain as AI Motorsports PI, providing valuable continuity to the team's leadership. Fans can expect to see all their favorite team members return ensuring continuity in our pursuit of advancing AI racing technology.
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 University of Hawai‘i System
No driver, just software. Imagine driver-less 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!
Kicking off the new Season
In the final stretch to prepare for the November 11th Indy Autonomous Challenge at Texas Motor Speedway, the Team put in long days and long nights in Fort Worth. Footage courtesy of Zhihao Deng, filmmaker "Cute Cake."
INITIATIVES
AI Racing Tech team is one of nine teams that currently compete in the Indy Autonomous Challenge (IAC). The IAC is a broadly collaborative effort that brings together public-private partnerships and academic institutions to challenge university students around the world to imagine, invent and prove a new generation of automated vehicle software to run fully autonomous racecars. As this competition is a significantly greater challenge the UH-ART team is proud to be collaborating with the UH-Manoa Robotics Lab, UC Berkeley, and Triton-AI UC San Diego to form the AI Racing Tech team!
One of AI Racing Tech's main focuses has been to develop advanced simulation environments that test autonomous software stacks in an "as real-world" setting as possible (Sim to Real). This Sim to Real focus is a valuable solution to the challenge of needing many hours on a racetrack to properly advance an autonomous software stack.
AI Racing Tech has been a leading developer in simulation environments for both the Indianapolis Motor Speedway and Las Vegas Motor Speed Way. Developing accurate 3d maps and race car dynamics for SVL Simulator and CARLA simulator. The team also supports integration with BeamNG.
In the summer of 2023, UC Berkeley assumed the position of Lead University within the AI Racing Tech Team, marking a pivotal moment in the team's journey. Building upon two years of successful collaboration with contributors from UC San Diego, Carnegie Mellon, and UH-Maui, 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 All-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.
The AI Racing Tech team proudly counts on the support of a number of industry corporations and leaders as well as many local community sources.
Primary Sponsor 2022
Gaia Platform is a data-centric, high-performance environment for rapidly building complex applications at the edge. This allows edge and autonomous machines to carry out complex activities over long periods of time, unsupervised, and often disconnected. The platform is written in a declarative programming language allowing developers to write 10X less code, making it easier to write, debug, test, deploy and maintain.
Secondary Sponsors
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PAST NEWS
UC Berkeley to Lead AI Racing Tech
In the Summer of 2023, after two years of successful and rich collaboration, in a continuation of this collaborative spirit, UC Berkeley under Allen Yang's ROAR group has assumed the role of the Lead University in the AI Racing Tech Team. This transition marks a pivotal moment as the team acknowledges a changing of the guard. However, it's important to note that while leads are changing, the core team remains unchanged, UH's Gary Passon will remain as AI Motorsports PI, providing valuable continuity to the team's leadership, and fans can expect to see all their favorite team members return ensuring continuity in our pursuit of advancing AI racing technology. This commitment is driven by a longstanding tradition of technical excellence and an unwavering dedication to ongoing progress.
CES , Race Day Recap!
AI Racing Tech sweeps into 3rd place taking out MIT at CES in January 2022. See the winning race here
Texas 2022 ART takes 2nd Place!!!!
In an upset AI Racing Tech sweeps into 2nd place into 2nd place in the international Head to Head at Texas Motor Speedway. Find out more
2nd place @ Autonomous Karting Series, 2022!
HUGE Shout out to the TritonAI and Berkeley ROAR team for their 2nd place victory at this year's @evGrandPrix! @AiRacingTech,#UCBerkley, and #TritionAI have been extremely busy in the garage and lab to make this amazing day happen!
CES , Race Day Recap!
Once again, #history was made by the teams at this year's #ces2022. Although we did not get the chance to compete on race day, we made huge advancements thanks to UC San Diego, Triton AI UC San Diego, and some help from our #Berkeley friends! We can't wait for the next race, where we expect to make some heads turn and go even faster! Big Mahalo to everyone that made this race possible!
Indy, Race Day Recap!
AI Racing Tech team couldn't be more proud of all the hard work that went into ACHIEVING 6th place!! Big Mahalo to Triton AI UC San Diego for being our partner in crime, Gaia Platform for the amazing guidance and support, and ADLINK Technology for making such fast robots! We would also like to give a special shoutout to Ubuntu for the ultra-reliable operating system, and #Z1analyzer for the amazing live telemetry!
See more about Racing Simulations!
UH competes in first-ever international driverless car racing event!
The University of Hawaiʻi made history competing in the Indy Autonomous Challenge competition—the first-ever autonomous race car event. The team, UH AI Racing Tech, achieved its fastest speed ever and placed 6th in the competition.