Hardware Kits
Hardware Profiles
Deep, pin-level notes for each platform in the Vault. Pick a kit to see toolchains, electrical constraints, and module fit.
AVR8 / Arduino-class
8-bit microcontrollers for ultra-low-power, deterministic control loops and simple sensing. Best for edge autonomy, safety interlocks, and dependable I/O under tight RAM budgets.
ARM MCU (STM32)
32-bit Cortex-M microcontrollers with DMA, timers, and optional FPU. Ideal for mid-tier autonomy where you need determinism plus more compute headroom.
ESP32
Wi-Fi/BLE-enabled MCU for connected autonomy nodes. Great for comms-heavy deployments while keeping deterministic control paths in FreeRTOS tasks.
Raspberry Pi / Embedded Linux
Linux SBC for high-level autonomy, mapping, and integration. Excellent for prototyping and mid-tier deployment when hard real-time is not required.
x86_64 CPU
Workstation/NUC-class compute for heavy autonomy stacks, simulation, and multi-sensor fusion. Ideal for development, testing, and production gateways.
Jetson / CUDA
ARM CPU + NVIDIA GPU for edge AI and accelerated autonomy. Best for heavy perception or large map processing with CUDA-enabled modules.
x86_64 + CUDA
Desktop/workstation class CPU paired with a discrete NVIDIA GPU. Best for large maps, high-rate scan matching, and accelerated perception.