Build - We developed Pocket Racer, a low-cost, miniature platform that is accessible and easy to construct using 3D printed parts and off-the-shelf electronics, fostering hands-on learning and innovation.

Learn - We provide comprehensive resources, including build instructions and code, enabling students and researchers to delve into the principles of autonomous racing and Cyber Physical Systems.

Race - We create opportunities for competitive multi-agent autonomous racing within typical indoor environments, bringing together enthusiasts and researchers from diverse backgrounds to test and enhance their racing algorithms.

Research - Our platform supports a wide range of research applications, from high-speed autonomous driving and vision-based control to multi-agent coordination and reinforcement learning, making it a versatile tool for advancing autonomous systems research.

Innovate - By utilizing Vision Transformers (RaceViT) and learning from demonstrations, Pocket Racer pushes the boundaries of on-device autonomy, enabling efficient high-speed maneuvers and real-world applicability in constrained spaces.

Accessible - Designed to be cost-effective and requiring minimal space, Pocket Racer makes advanced autonomous racing research feasible for institutions of all sizes, democratizing access to cutting-edge technology and education in the field.