Advancing Autonomous Racing: A Comprehensive Survey of the RoboRacer (F1TENTH) Platform

Charles, Israel, Maghsoumi, Hossein, Fallah, Yaser

arXiv.org Artificial Intelligence 

--The RoboRacer (F1TENTH) platform has emerged as a leading testbed for advancing autonomous driving research, offering a scalable, cost-effective, and community-driven environment for experimentation. This paper presents a comprehensive survey of the platform, analyzing its modular hardware and software architecture, diverse research applications, and role in autonomous systems education. We examine critical aspects such as bridging the simulation-to-reality (Sim2Real) gap, integration with simulation environments, and the availability of standardized datasets and benchmarks. Furthermore, the survey highlights advancements in perception, planning, and control algorithms, as well as insights from global competitions and collaborative research efforts. The findings underscore the platform's significance in driving forward developments in autonomous racing and robotics.