Choosing a Single-Board Computer for Your Robot Project

The brain of a hobbyist robot doesn't need to be powerful — it needs to fit the job you're actually asking it to do.

The right single-board computer depends heavily on what your robot's software actually needs to do — running basic joint control and simple sensor processing has very different computational demands than running real-time computer vision or a learned control policy on-device.

Common options and their tradeoffs

General-purpose boards like a Raspberry Pi are affordable, well-documented, and fine for basic control and lightweight processing, but lack the parallel processing power needed for running vision models or learned policies in real time. GPU-equipped boards designed for edge AI (like NVIDIA's Jetson line) cost more but handle vision and learned control workloads far better.

A practical approach

Many hobbyist builds split responsibilities across two boards — a real-time microcontroller handling fast, safety-critical joint control loops, and a more powerful single-board computer handling higher-level perception and planning — rather than asking one board to do everything well.