ROAR Simulation Racing
Autonomous racing in simulation with UC Berkeley’s Robot Open Autonomous Racing (ROAR™).
I competed in the Spring 2024 Simulation Racing Series, hosted by ROAR at Berkeley on the Monza Map v1. Teams submitted autonomous agents judged on total simulated lap time across the season leaderboard. The series brings together high school and university racers to push limits in perception, planning, and control—entirely in sim before touching real hardware.
Spring 2024 series
Official standings and winner announcements are published by ROAR at Berkeley. Summary below follows the Spring 2024 results post.
| Rank / award | Team | Total sim time |
|---|---|---|
| Prime Directive | Laplace Racing | 343.7 s |
| 1 — Grand Prize | University High Trojan Horsepower | 346.4 s |
| 2 | Kachow | 347.05 s |
| 3 | Uni-Bahn Racing | 409.65 s |
| 5 | ROAR_LIONS | 647.45 s |
ROAR_LIONS — Ciana Tzuo, Eric, Luke Lu, Leo Yu. Additional teams and DNF entries are listed on the official page.
Explore
Demo video
Watch the autonomous agent in simulation — run, lap times, and behavior on track.
Watch demoROAR program
Robot Open Autonomous Racing — programs, news, and simulation racing resources.
roar.berkeley.eduSource code
Competition skeleton and starter code (forked from augcog/ROAR_Competition).
Open on GitHub