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MeArm Joystick – Intuitive Control for Your Robot Arm and Servos

MeArm Joystick Board
MeArm Joystick Board
MeArm Joystick Board
MeArm Joystick Board
MeArm Joystick Board
MeArm Joystick Board
MeArm Joystick Board
MeArm Joystick Board
MeArm Joystick Board
MeArm Joystick Board
MeArm Joystick – Intuitive Control for Your Robot Arm and Servos
from
€2.90
Price in reward points: 290
  • Stock: 3
  • Brand: OEM
  • Reward Points: 15
  • Model: MeArm
  • Weight: 0.03kg
  • Product Code: 6945

Board with Dual Analog Joysticks and ATmega328 for Precision Control of Up to 4 Servos

The MeArm Joystick Board is a joystick-based control board designed to drive mobile robotic projects such as the MeArm robotic arm and other systems that use PWM-controlled servo motors. The board features two analog dual-axis joysticks for intuitive direction control and additional buttons for extra functions. It interfaces easily with Arduino and other microcontrollers capable of reading analog inputs and generating PWM outputs, making it a great choice for robotics and educational electronics.

 Key Features

  • Dual analog joysticks with X and Y axes for motion control.

  • Built-in buttons for additional control options.

  • PWM outputs for connecting up to 4 servo motors (e.g., SG90).

  • Arduino compatibility – connects to standard Arduino Uno/Nano/Mega boards.

  • LED indicators for status feedback.

  • Compact size for embedded robotics and control panels.

  • Operating voltage: typically 5 V DC.

 How It Works

The board’s analog joysticks provide variable voltage outputs corresponding to their position. A microcontroller (like an Arduino) reads those voltages on analog input pins and maps them to servo positions via PWM outputs to control the movements of mechanical joints. This setup enables a natural and precise user interface for robotic arms and similar systems.

 Typical Uses

  • Controlling robotic arms, including MeArm and other articulated robots.

  • Educational and STEM electronics projects with Arduino.

  • Interactive servo-controlled mechanisms like remote-controlled robots.

  • Hands-on learning and prototyping in robotics and embedded systems. 

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