Hiwonder MasterPi AI Vision Mecanum Robot Car with 4DOF Arm for Raspberry Pi 4B

Specifications

• Compatible Mainboard: Raspberry Pi 4B 4GB 
• Robotic Arm: 4DOF Metal Arm + High-Torque Gripper
• Chassis Type: 4WD Omnidirectional Mecanum Wheel Base
• Vision Camera: 480P HD Wide-Angle Camera (Manual Focus Tilt)
• Programming Environment: Python 3, OpenCV, ROS
• Chassis Construction: Anodized Aluminum Alloy Frame
• Arm Actuators: High-Precision Metal Gear Digital Servos
• Wheel Drive Motors: 4× DC Geared Motors with Hall Encoders
• Control Options: iOS/Android Mobile App, PC Software, Wireless Gamepad
• Wireless Communication: Wi-Fi / Bluetooth (via Raspberry Pi)
• Operating Voltage: 11.1V DC
• Dimensions: 185 mm × 162 mm × 343 mm
• Weight: 1.100 kg

Unlock New Capabilities

• Past Projects If you've already experimented with basic 2WD robot cars or simple line-following chassis using Arduino, you already understand the fundamentals of motor control — which means you're perfectly ready to step up to omnidirectional movement and actual computer vision.
• Feature Upgrade This Hiwonder MasterPi unlocks true omnidirectional navigation, automated object sorting, color tracking, and AI-driven face recognition. Because it relies on a Raspberry Pi running Python and OpenCV, it allows you to build projects that actively "see" and interpret their environment rather than just blindly following a black line.
• Effort Level & Minimum Hardware
• Effort Level: Advanced

Minimum hardware to get started:

• Raspberry Pi 4B (4GB or 8GB recommended) — to run the operating system, process the 480P camera feed, and execute complex OpenCV/Python scripts.
• 2× 18650 High-Drain Li-ion Batteries — to provide the high current required by the four DC motors and the robotic arm's metal gear servos without browning out the Pi.
• 32GB+ Class 10 MicroSD Card — to flash the Hiwonder MasterPi system image and store your Python programs.
• 18650 Battery Charger — to safely recharge your power source between coding sessions.

Included in the Box:

• 1× MasterPi Aluminum Alloy Chassis
• 4× Omnidirectional Mecanum Wheels
• 1× Raspberry Pi 4B 4GB 
• 4× DC Geared Motors with Encoders
• 1× 4DOF Metal Robotic Arm + High-Torque Gripper
• 1× HD 480P Vision Camera with Pan/Tilt Mount
• 1× MasterPi Robot Expansion Board
• Required assembly hardware, brackets, and cables

Frequently Asked Questions

• Is the Hiwonder MasterPi compatible with Raspberry Pi 5?
  Yes, but the included expansion board firmware and provided system image are primarily optimized for the Raspberry Pi 4B.
• Can I use an Arduino or ESP32 as the main controller instead of a Raspberry Pi?
  No, the MasterPi relies on a Raspberry Pi to handle the heavy processing required for OpenCV AI vision and Python execution.
• Does the included 4DOF robotic arm work with other Hiwonder controllers?
  Yes, the arm's metal gear servos use standard PWM control and can be driven by other compatible servo controller boards.
• Can I add a LiDAR module to the MasterPi chassis?
  Yes, the aluminum chassis has mounting space, and the Raspberry Pi can interface with standard USB or serial LiDAR modules for advanced SLAM navigation.
• What voltage does the MasterPi require to operate?
  The system requires an 11.1V power source, typically provided by the expansion board using two high-drain 18650 Li-ion batteries.
• Can I power the Raspberry Pi directly via its USB-C port while attached to the robot?
  No, you should only power the Pi through the expansion board's GPIO header to avoid damaging the power routing circuitry.
• How long do the batteries last during continuous AI vision processing?
  Depending on battery capacity and motor usage, a standard pair of 2500mAh 18650 cells provides roughly 45 to 60 minutes of active runtime.
• How do I connect the 480P vision camera to the main controller?
  The camera connects directly via a standard USB cable to one of the blue USB 3.0 ports on the Raspberry Pi.
• Where do the four mecanum wheel motors plug in on the expansion board?
  The DC geared motors plug into the clearly marked M1, M2, M3, and M4 ports located on the edges of the MasterPi expansion board.
• Do I need to solder any connections during assembly?
  No, the entire kit uses plug-and-play modular connectors for the electronics and standard screw terminals for the battery pack.
• Which programming language is used to write AI vision scripts for the MasterPi?
  The primary programming language is Python 3, utilizing the OpenCV library for computer vision and image processing.
• Where can I find the pre-configured operating system image for this robot?
  The customized Raspberry Pi image containing all necessary drivers and Python code examples is available through the official Hiwonder support portal.
• Can I control the MasterPi using a mobile app without writing code?
  Yes, Hiwonder provides a free iOS and Android companion app that allows you to drive the robot and control the arm out of the box via Wi-Fi.
• Why is my MasterPi spinning in circles instead of strafing sideways?
  This is almost always caused by installing the mecanum wheels in the wrong A/B pattern; check the assembly manual for the correct overhead X-pattern orientation.
• Why does the robotic arm jitter or fail to lift objects?
  Jittering often indicates a low battery charge, as the metal gear servos require high peak current to operate smoothly under load.
• Why is the live camera feed lagging during object tracking?
  Video latency can occur if the Raspberry Pi is thermal throttling; ensure you have a heatsink installed or lower the OpenCV processing resolution in your script.
• Why is the robot not responding to the wireless gamepad?
  Ensure the gamepad's USB receiver is plugged securely into the Raspberry Pi and that the gamepad is turned on and successfully paired.