The year 2026 presents a vibrant tapestry of possibilities in robotics, from the humble $10 microcontrollers to the cutting-edge $1000 NVIDIA Jetson boards. The question many aspiring and seasoned engineers ask is, “What hardware do I truly need for my robotics projects?” Let’s journey through the essential hardware tiers suitable for makers and professionals alike, shedding light on costs, capabilities, and applications.
Tier 1: Introduction to Robotics with Microcontrollers ($10-$60)
Based on content from Back to Engineering (iulia)
For those dipping their toes into robotics, starting off with a Raspberry Pi Pico or an Arduino Uno is a wise choice. Ideal for simple projects, these microcontrollers are budget-friendly yet capable of controlling various sensors and servo motors. While a basic robot arm can be constructed for around $50, a more sophisticated interaction, albeit limited to “if-then” logic, can be achieved with additional accessories. For those not looking to delve into Physical AI, this tier offers a playground of creativity and exploration without breaking the bank.
Tier 2: Stepping Up with Microprocessors ($60-$300)
As projects grow in complexity, so does the need for processing power. Enter the realm of microprocessors with the Raspberry Pi lineup. Ranging from the Raspberry Pi 3 to the latest Raspberry Pi 5, these boards offer the capabilities of a small computer. They are perfect for projects contemplating basic AI, local model inferencing, or running richer applications like a Raspberry Pi-powered robot dog, albeit with some limitations in responsiveness and computational performance.
Tier 3: Venturing into Physical AI with NVIDIA Jetson Boards
For those venturing boldly into the Physical AI space, NVIDIA’s Jetson series stands out. Boards like the Jetson Orin Nano and its more powerful siblings, the Orin NX, deliver the requisite grunt for deploying and running sophisticated AI models. The performance metrics, measured in TOPS (Tera Operations Per Second), afford a straightforward comparison between different models. Whether your projects involve real-time computer vision or complex multimodal data analysis, this tier is the frontier of innovative robotics.
TOPS: Decoding AI Performance
In the world of AI hardware, TOPS is a critical metric. It provides a simple yet effective measure of a board’s computational muscle. For examples like running VLA models, a 60 to 100 TOPS capability is a foundational baseline. The advantage of this system is its ability to guide users in selecting appropriate hardware for their projects’ demands, from inference to real-time processing.
Choosing Your Path: Orin Nano vs. Orin NX
Selecting between the Orin Nano and Orin NX depends heavily on your project scope. If fine-tuning models is necessary, the enhanced capabilities of the Orin NX might be preferable. Yet, for many applications, the Orin Nano hits the sweet spot of performance and cost.
Modules, Carrier Boards, and Complexity
Beyond the modules lie carrier boards that expand connectivity and functional extensibility. Much like the AI hats for Raspberry Pi, these boards scaffold the NVIDIA Jetson modules, enabling expanded applications in robotics. Evaluating these options involves considering not just the power requirements but also the nature of the peripherals and additional computations needed for your project.
Conclusion: Mapping Your Robotics Journey
In conclusion, the world of robotics hardware is vast and varied. For purely electronic projects, microcontrollers suffice wonderfully. As projects evolve, microprocessors like the latest Raspberry Pis ramp up the capabilities. For robust, AI-driven robotics, NVIDIA Jetson boards mark the cutting edge. The choice is ultimately dictated by your project’s complexity and aspirations. Stay tuned as we explore these technologies further in our upcoming episodes, where we delve into the setup and application of these exciting technologies.
Embark on this exhilarating journey of discovery within the realm of Physical AI, and rest assured, the right hardware is out there, ready to power your innovations to life.
