Led by its faculty members with deep expertise in AI and autonomous driving, Berkeley is proud to announce and host a new AI racecar competition in 2020. The Robot Open Autonomous Racing (ROAR) competition will pit multiple student racing teams to compete for speed and vehicle skills at the heart of the iconic Berkeley campus.
The participating teams will adopt the set of common 1/10 RC car hardware as regulated by a rules committee. The regulations aim to ensure the competition to be affordable and fair to our target students. Different teams are allowed to upgrade their car hardware as permitted by the regulation and to develop and deploy their own autonomous driving software.
In order to preserve the safety and well-being of all students and members in our community, the decision has been made to host a virtual debut competition for ROAR in Fall 2020.
Participation:
Submission website for ROAR 2021 Spring Season will open in April. You need to register to be a member of the Vive Center to be able to submit.
Steering Committee:
FrancescoBorrelli
ShankarSastry
KoushilSreenath
AllenYang, Chair
Leagues:
* Important Note: Due to restrictions imposed during the COVID-19 pandemic, ROAR competitions for 2020 and 2021 seasons will only host the S1 series until further notice.
ROAR provides a Python-based racing simulation environment that allows contenders to race their autonomous AI agents. Contenders can fully train and test their AI algorithms without any vehicle hardware.
The ROAR reference hardware and software uniquely supports contenders to manually race their vehicles in virtual reality. The competition will pit different players to demonstrate their racing skills in 1/10 RC car style.
A1 series is the pinnacle of the ROAR program, where user-developed AI agents will need to fully and autonomously control a RC vehicle to complete 10 laps of the challenging physical race track as in the V1 series. The ROAR program provides a reference design of the ROAR vehicle system that allows seamless deployment of autonomous racing agents between Software Simulation (S1) and Autonomous Racing (A1)