Robotics

Pre-Assembled lower-cost Autonomous Racing Car Pre-Orders now Live!

A pre-assembled, $600 autonomous car with LiDAR and a Jetson Orin Nano aims to revolutionize robotics education.

Deep Dive

The Neobotics Foundation has opened pre-orders for the NeoRacer, a turnkey autonomous vehicle platform designed to eliminate the hardware integration bottleneck in academic and research labs. The car ships fully assembled with a professional-grade sensor suite including a Richbeam L1 LiDAR, a 120 FPS camera, and a 9-axis IMU, all powered by an NVIDIA Jetson Orin Nano compute module. Crucially, it comes pre-installed with the ROS2 Humble operating system, meaning users can unbox it and begin running autonomous navigation code on day one. The company states its mission is to reclaim the semester-long time sink often spent on soldering, wiring, and sourcing parts, redirecting that effort toward core algorithmic development in areas like SLAM (simultaneous localization and mapping).

Pre-order pricing is currently available for a limited time, with the first production run scheduled to ship in July 2026. The platform is fully supported by open-source code and hardware designs, promoting collaboration and customization. Early adoption signals are strong, with notable institutions like Cornell's IDS Lab having already purchased units, and universities across the US, Europe, and the Middle East placing orders. By providing a robust, out-of-the-box hardware solution, the NeoRacer aims to democratize and accelerate practical education in robotics, autonomous systems, and AI, making advanced project work accessible without a dedicated engineering support team.

Key Points
  • Ships fully pre-assembled with Richbeam L1 LiDAR, 120 FPS camera, and NVIDIA Jetson Orin Nano running ROS2 Humble.
  • Aims to eliminate months of hardware debugging, letting labs focus on SLAM and autonomous navigation algorithms from day one.
  • First production run ships July 2026, with early orders from Cornell and universities worldwide; pre-order pricing is limited.

Why It Matters

This dramatically lowers the barrier to advanced robotics education, allowing programs to scale practical AI and autonomy training efficiently.