MangDang · Open-source robot dog kit

MangDang Mini Pupper 2

Open-source ROS 2 robot dog kit

Purchase price From US$649

Payload: Up to 200 g
Weight: 450 g
Runtime: Approx. 30 min
Navigation: ROS 2; optional LiDAR SLAM
Environment: Indoor labs
Best for: ROS 2 learning

Up close

MangDang Mini Pupper 2 is a small, open-source robot dog kit built on a Raspberry Pi Compute Module 4. It weighs 450 g and runs about 30 minutes per charge, with 12 servos, ROS 2, Python examples and optional LiDAR and camera for SLAM, navigation and vision projects. It suits universities, coding clubs and makers who want to learn quadruped robotics hands-on.

Key features

Open source

Hardware and software are open and 3D-printable.

Raspberry Pi

Runs on a Compute Module 4.

ROS 2

SLAM, navigation and vision projects.

Low cost

A real quadruped for under US$1,000.

Is it right for you?

Good fit if

Learning ROS 2, SLAM and navigation
University courses and coding clubs
Makers who enjoy building and tinkering

Not ideal if

Rugged, outdoor or payload work
A finished, plug-and-play pet robot

Where it works

Robotics education
ROS 2 learning
Computer vision projects
AI experiments

Specifications

Robot type: Open-source quadruped kit
Main purpose: ROS 2 education and R&D
Operating environment: Indoor labs and classrooms
Availability: Current
Payload: Up to 200 g
Mobility: Walking, trotting, programmable gaits
Manipulation: None; camera and LiDAR add-ons
Runtime: Approx. 30 min
Battery / power: 1,000 mAh battery; micro-USB charging; external power
Degrees of freedom: 12 servos
Navigation / control: ROS 2, Python, web control; optional LiDAR SLAM
Sensors: IMU, touch sensor, microphone, joint feedback; optional camera and LiDAR
Dimensions: Approx. 210 × 110 × 160 mm
Weight: 450 g

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Pricing

🇺🇸United States

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Questions

Is it a kit?

It comes as a kit or pre-assembled depending on the version; either way expect some setup and configuration.

Does it support ROS 2?

Yes, with SLAM and navigation examples when the optional LiDAR is fitted.

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