Boards & Systems

Raspberry Pi 4 Model B 8GB

The flagship single-board computer for serious robotics. With 8GB of RAM, quad-core processing, and dual-display output, the Pi 4 runs ROS navigation stacks, real-time computer vision, and machine learning inference without breaking a sweat. Build autonomous rovers, vision-guided arms, or multi-sensor research platforms.

Memory 8GB LPDDR4
CPU Quad-core Cortex-A72
USB Ports 2× USB 3.0, 2× USB 2.0
Video Dual 4K display

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Why 8GB matters for robotics

Run vision pipelines in real time
OpenCV object detection, YOLO neural networks, and camera stream processing run simultaneously without memory contention. Essential for autonomous navigation and visual servoing.
Multi-threaded sensor fusion
Combine data from IMUs, lidar, cameras, and ultrasonic sensors in parallel. ROS nodes for SLAM, localization, and path planning stay responsive under load.
Headless or desktop workflows
SSH into a lightweight server stack, or connect dual monitors for live debugging with Thonny, VS Code, or Jupyter. The extra RAM keeps the desktop usable while your robot code runs.
Future-proof your project
Start with a simple obstacle-avoidance rover, then add TensorFlow Lite inference, voice recognition, or a web dashboard later—without hitting memory limits.

Technical specifications

Compute

Processor: Broadcom BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5GHz
Memory: 8GB LPDDR4-3200 SDRAM
Storage: MicroSD card slot (not included)

Connectivity

USB: 2× USB 3.0, 2× USB 2.0
Network: Gigabit Ethernet, dual-band 802.11ac Wi-Fi, Bluetooth 5.0
GPIO: Standard 40-pin header

Video & Audio

Display: 2× micro-HDMI ports (up to 4Kp60 supported)
Camera: MIPI CSI camera connector
Audio: 3.5mm jack (composite video and audio)

Power & Dimensions

Power input: USB-C, 5V DC, 3A recommended
Dimensions: 85mm × 56mm × 17mm
Operating temperature: 0–50°C (throttles at high ambient temps without cooling)

What you can build

Mount the Pi 4 on a wheeled or tracked chassis, connect a motor driver, ultrasonic sensors, and a camera module. Run ROS or a custom Python navigation stack to map rooms, avoid obstacles, and follow waypoints. The 8GB RAM lets you log sensor data, stream video to a laptop, and run SLAM algorithms at the same time.

Raspberry Pi Camera Module v2 or USB webcam
IMU (accelerometer + gyroscope) for heading estimation
GPS module for outdoor navigation
LiDAR or depth camera for advanced mapping

Pi 4 vs microcontroller boards

The Raspberry Pi is a full Linux computer; Arduino and similar MCUs are real-time embedded controllers. Each excels at different tasks.

	Arduino / ESP32	Raspberry Pi 4 8GB
Operating system	None (bare-metal firmware)	Linux (Raspberry Pi OS, Ubuntu)
Programming	C/C++ (Arduino IDE)	Python, C++, Java, Node.js, any Linux-compatible language
Boot time	< 1 second	20–40 seconds
Real-time guarantees	Yes (deterministic loop timing)	No (Linux scheduler introduces jitter)
Camera & video	No (external serial camera required)	Native USB & MIPI CSI support, HDMI output
Machine learning	Tiny models only (TensorFlow Lite Micro)	Full frameworks (TensorFlow, PyTorch, ONNX)
Multi-tasking	Single loop (cooperative)	True parallel processes and threads
Best for	Motor control, sensor I/O, low-latency actuators	Computer vision, AI, ROS, data logging, web dashboards

Many advanced robots use both: an Arduino for real-time motor control and a Pi for high-level decision-making and vision.

Common questions

What's included with the board?

The Raspberry Pi 4 Model B board only. You'll need to supply a USB-C power adapter (3A recommended), a microSD card with an operating system, and any peripherals (keyboard, monitor, cables). Check our starter kit for a complete bundle.

Can I power the Pi 4 from a battery pack?

Yes. Use a USB-C smart charger or a battery pack with a 5V/3A output. The Pi 4 draws 600mA idle and up to 3A under full load with peripherals attached. Plan capacity accordingly for mobile robots.

Do I need a heatsink or fan?

The Pi 4 runs warm. Without cooling, the CPU will throttle under sustained load (compiling code, running ML inference). A passive heatsink helps; an active fan keeps it under 60°C even during heavy processing.

What operating systems are supported?

Raspberry Pi OS (Debian-based, recommended for beginners), Ubuntu Desktop/Server, Arch Linux ARM, and many others. Most robotics tutorials assume Raspberry Pi OS or Ubuntu.

Is the 8GB model worth it over the 4GB?

For simple GPIO control and basic Python scripts, 4GB is enough. For computer vision, ROS, running a desktop environment while your code executes, or multiple Docker containers, 8GB removes memory as a bottleneck. If your project involves cameras or neural networks, choose 8GB.