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Robot Open Autonomous Racing (ROAR™)

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.

Recent News:

Achievements

Spring 2022 Results and Upcoming Summer Competition

Read More »
Achievements

Pacific AI Racing (UCSD-Hawaii-Berkeley) Team wins 2nd Place at 2022 evGrandPrix

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Virtual Reality

Spring 2022 S1/S2 Series Competition Submission Form Open!

Read More »

Steering Committee:

Francesco Borrelli
Faculty
Shankar Sastry
Faculty
Koushil Sreenath
Faculty
Allen Yang, Chair
Faculty

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.

S1 Series (Software Simulation)
V1 Series (Virtual Reality)
A1 Series (Autonomous Racing)
S1 Series (Software Simulation)

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 GitHub repository can also be found here. 

V1 Series (Virtual Reality)

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/augcog/ROAR_VR

A1 Series (Autonomous Racing)

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/ROAR_Jetson

Partnerships:

ROAR would like to acknowledge our program partners and donors whose contributions have greatly enriched the experiences of ROAR and its participating students.

Intelligent Racing Foundation

Quest Academy

UC San Diego

University of Hawaii

Yali Middle School

Athenian High School

Campolindo High School

Philips Academy Andover

evGrandPrix Education Program

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.

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