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.
* 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, please see: https://github.com/
Fall 2020 Competition Results:
For the Fall 2020 season, we have received 8 submissions by December 12. These are the final results in terms of the eight team’s total time for 10 laps and the best single lap time.
|Team Members||Total Lap Time||Best Single Lap Time||Remarks|
|Alfredo De Goyeneche, Alvin Tan, Sihao Chen, Wesley Wang, Aman Sidhant||813.92 s||77.23s||Using customized waypoint smoothing function & LQR Controller|
|Shuwen Deng, Zheyuan Wu, Linfeng Zang||1104.00s||77.15s||Fast driving using manually-tuned PID controller|
|Michael Wu, Flaviano Christian Reyes, James Cheney, Marleah Puckett, Jonathan Wong||1207.45s||120.45s||Using Reinforcement Learning DDPG network trained PID controller|
|Josephine Koe||1294.13s||126.96s||Using optimally tuned PID controller with customized local planner|
|Peter Peng, Amanda Chiang, William Situ||2531.55||253.10s||Driving at 44 km/h. Safe but not fast|
Courses offered at UC Berkeley in Fall 2020 where students can learn more about ROAR.
ROAR Reference Vehicle Breakdown and Assembly Instructions
2/7/20 – Control Approaches for Autonomous Racing
We thank the contestants who participated in our ROAR competition from the following institutions.
Philips Academy Andover
Yali Middle School