Mini Pupper 2

Name: Mini Pupper 2
Brand: MangDang

Open-source quadruped robot for education and research

$599 – $899

Mini Pupper 2 is an open-source quadruped robot designed by MangDang for robotics education, research, and hobbyist projects. Built on ROS 2 architecture, it features 12 degrees of freedom, autonomous navigation capabilities with integrated sensors, and compatibility with various development platforms. The robot is targeted at students, educators, and developers seeking an affordable platform to learn and experiment with legged robotics and AI.

Released: 2023

Overview

Mini Pupper 2 represents the evolution of MangDang's commitment to making advanced robotics accessible to students and developers worldwide. This open-source quadruped robot builds upon the success of its predecessor with enhanced capabilities, improved sensor integration, and full ROS 2 compatibility, making it an ideal platform for learning modern robotics concepts including machine learning, computer vision, and autonomous navigation.

Designed with education and research in mind, Mini Pupper 2 combines affordability with professional-grade features. Its compact form factor houses 12 servo motors enabling dynamic quadruped locomotion, while the integrated OAK-D-Lite stereo camera provides depth perception and visual processing capabilities. The platform supports multiple programming environments and is fully open-source, allowing users to modify both hardware and software to suit their specific needs.

The robot serves as a bridge between theoretical robotics education and practical implementation, offering hands-on experience with real-world robotics challenges. With comprehensive documentation, active community support, and compatibility with industry-standard tools like ROS 2, Mini Pupper 2 has become a popular choice for university robotics programs, coding bootcamps, and individual enthusiasts exploring the field of legged robotics.

Key Features

ROS 2 Native Support: Fully compatible with ROS 2 Humble and Foxy, enabling integration with the broader robotics ecosystem
OAK-D-Lite Stereo Camera: Integrated depth camera with on-board AI processing for computer vision applications and obstacle avoidance
12 DOF Quadruped Design: Three servo motors per leg providing dynamic walking gaits and agile movement capabilities
Open-Source Platform: Complete access to hardware designs, firmware, and software allowing full customization and modification
Multiple Control Modes: Support for autonomous navigation, teleoperation via gamepad or mobile app, and programmable behaviors
Raspberry Pi 4 Based: Powered by Raspberry Pi 4 (4GB) providing sufficient computing power for AI and navigation algorithms
SLAM Capabilities: Built-in support for simultaneous localization and mapping using sensor fusion
Educational Resources: Comprehensive tutorials, example code, and curriculum materials for robotics education

Applications

Mini Pupper 2 is primarily used in educational settings including universities, technical schools, and STEM programs where students learn robotics fundamentals through hands-on experimentation. The platform is ideal for teaching concepts such as inverse kinematics, gait planning, sensor fusion, and autonomous navigation. Research laboratories also utilize Mini Pupper 2 for prototyping algorithms related to legged locomotion, multi-robot coordination, and AI-driven behaviors before scaling to larger platforms.

Beyond formal education, the robot has found applications among hobbyists and makers exploring robotics projects, participating in robot competitions, and developing custom applications. Its open-source nature makes it suitable for proof-of-concept demonstrations in robotics research, allowing rapid iteration and testing of new control algorithms, perception systems, and machine learning models in a physical platform without significant investment.

Technical Highlights

The Mini Pupper 2's standout technical achievement is its seamless integration of ROS 2 with affordable consumer hardware, making professional-grade robotics development accessible to a broader audience. The robot's gait controller implements sophisticated inverse kinematics and trajectory planning, enabling stable walking across various terrains despite its compact size. The OAK-D-Lite camera provides hardware-accelerated depth perception and neural network inference, allowing real-time object detection and spatial awareness without burdening the main processor.

The modular software architecture separates low-level motor control, sensor processing, and high-level behavior planning, making it an excellent teaching platform for understanding robotics system design. Power management and thermal design allow the robot to operate continuously for approximately one hour on a single charge while maintaining consistent performance. The combination of standardized ROS 2 interfaces and detailed hardware specifications enables users to extend the platform with additional sensors, manipulators, or custom electronics for specialized applications.