Arduino Mega 2560 REV3
The genuine Mega — 54 I/O pins and ample memory for a multi-joint arm and its sensors.
Best for: Multi-joint arms with sensors
by Raspberry Pi
★ Best for: Vision, Python & ROS-controlled arms
The brain for camera-guided, Python and ROS robotic arms — a full Linux computer on one board.
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Reach for a Raspberry Pi when the arm needs to think rather than just move: running OpenCV on a camera feed, hosting a web control panel, running ROS 2, or doing inverse kinematics in Python. The Pi 5's quad-core processor and 8GB of RAM handle real-time vision far more comfortably than older boards, and its 40-pin header talks to a PCA9685 servo driver over I2C. Linux is not a real-time system, so the common pattern is to let the Pi decide where to go and let a PCA9685 or a small microcontroller generate the servo pulses. This listing is the bare board: budget for a 27W USB-C power supply, a microSD card and an active cooler, which the Pi 5 needs under sustained load.
| RAM | 8GB |
|---|---|
| CPU | Quad-core Arm Cortex-A76 |
| GPIO | 40-pin header (I2C, PWM, SPI) |
| Camera | 2× MIPI camera/display connectors |
| Note | Board only — PSU, microSD, cooler sold separately |
Raspberry Pi 5 (8GB)
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Build a Raspberry Pi robotic arm — when to choose a Pi over Arduino, controlling servos with a PCA9685, adding camera vision, and driving the arm from a web browser with Python.
Builds by platformAdd a camera to your robotic arm for computer-vision pick-and-place. The hardware, the software stack, camera-to-arm calibration, and how vision turns into joint angles.
Code & electronicsHow to control a robotic arm with Python — sending commands over serial from a laptop, running servos directly on a Raspberry Pi, and an intro to ROS for more complex control.
Code & electronicsHow machine learning is used to control robotic arms — reinforcement learning, imitation learning, and the sim-to-real pipeline — with practical Python examples using PyBullet and Stable-Baselines3.
Code & electronicsHow to simulate a robotic arm before building it — free tools (Gazebo, CoppeliaSim, PyBullet), what each one is best for, and how to transfer a simulation to a real arm.
The genuine Mega — 54 I/O pins and ample memory for a multi-joint arm and its sensors.
Best for: Multi-joint arms with sensors
Budget Mega-compatible board with USB cable — same pinout, lower cost.
Best for: Budget / classroom builds
Dual-core ESP32 with built-in Wi-Fi + Bluetooth — control your arm wirelessly, no extra radio.
Best for: Wireless / web-controlled arms
Raspberry Pi 5 (8GB)
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