As many in our community know,  RoboRacer brings together researchers, engineers, students, and autonomous systems enthusiasts from around the world to develop and race their own 1:10 scale autonomous vehicles. The teams write software for this scaled race car to fulfill the objectives for the competition: Don’t crash, minimize lap time and overtake all opponents. 

This competition considers the challenging scenario of multi-agent (many-on-many) racing and aims to assess the state-of-the-art for perception, planning and competitive control algorithms in real world scenarios, inviting contributions from a broad spectrum of research directions spanning model-based classical planning and control to model-free reinforcement learning end- to-end agile navigation approaches.

Schedule: December 9th to December 11th.