
A futuristic robot dog made for smart play and hands-on discovery.
The Alpha Unit AI Robot Dog brings robotics, movement, and interactive tech into one compact four-legged machine. With its mechanical body, camera-style front design, and programmable play features, it is made for users who love experimenting, coding, exploring AI-style functions, and watching a robot move with real personality.

Why You’ll Love It
- Four-legged robot design creates a futuristic tech look
- Camera-style front gives it smart visual interaction appeal
- Programmable features make it fun for learning and experimenting
- Mechanical movement adds realistic robot dog energy
- Great for tech lovers, students, and robotics hobbyists
Perfect for
- Robotics learning and coding practice
- Desk demonstrations and tech projects
- STEM gifts and educational play
- Anyone who wants a robot companion with serious gadget energy
It’s the kind of robot dog that turns learning, testing, and playing into one smart little adventure.

4GB: Suitable for standard ROS programming, motion control, basic AI vision, and educational projects.
16GB: Features four times more memory, providing smoother performance for advanced AI vision, large models, SLAM mapping, and multitasking.
Specifications:
Product Type: Programmable ROS AI Quadruped Robot Dog
Main Controller: Raspberry Pi 5, memory varies by selected configuration
Operating Systems: Ubuntu 22.04 LTS with ROS2 Humble, Ubuntu 20.04 LTS with ROS1 Noetic
ROS Compatibility: ROS1 and ROS2
Programming Support: Python, OpenCV, MediaPipe and Gazebo simulation
Product Dimensions: 26.6 × 14.9 × 19 cm / 10.47 × 5.87 × 7.48 in
Product Weight: 720 g / 1.59 lb
Body Material: Rigid aluminum alloy
Camera: 480p wide angle camera
LiDAR: STL 19P ToF LiDAR sensor
Voice System: WonderEcho Pro AI voice interaction module
Robot Mobility: 8 degrees of freedom
Robotic Arm: 5 degrees of freedom
Servo Motors: HPS 0618SG high performance coreless servo motors
Battery: 7.4V 2200mAh high rate lithium battery
Charging Adapter: 8.4V 2A
Sensors: RGB ultrasonic sensor, LED matrix module, touch sensor, temperature and humidity sensor
Control Methods: Mobile app, computer software and wireless controller
Supported Functions: AI vision, voice interaction, target tracking, FPV viewing, SLAM mapping, autonomous navigation and motion programming