Robot Open Autonomous Racing (ROAR™)
Recent News:
Steering Committee:
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.
For more detail about the S1/S2 series competition, please take a look here.
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.
For more detail about the V1/V2 series competition, please take a look here.
For more detail, please see: https://github.com/
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)
For more detail about the A1/A2 series competition, please take a look here.
For more detail, please see: https://github.com/augcog/
Acknowledgements:
We thank the contestants who participated in our ROAR competition from the following institutions.
Intelligent Racing Foundation
Quest Academy
Philips Academy Andover
Yali Middle School
For more information, please contact:
Dr. Allen Y. Yang <yang@eecs.berkeley.edu>
Huo Chao Kuan <hc_kuan@berkeley.edu>
ROAR Interest Form:
If you are interested in ROAR and would like to participate in the development, collaboration, expansion, or competition, please submit an interest form below and we will reach out to you.