XGO-lite3, World’s First Raspberry Pi Robotic Dog with An Arm

XGO-lite3, World’s First Raspberry Pi Robotic Dog with An Arm

$549.00
Sale price  $549.00 Regular price 
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XGO-lite3, World’s First Raspberry Pi Robotic Dog with An Arm

XGO-lite3, World’s First Raspberry Pi Robotic Dog with An Arm

$549.00
Sale price  $549.00 Regular price 

A programmable 15-DOF quadruped robot dog with a Raspberry Pi CM5 AI brain, ESP32 motion controller, robotic arm, gripper, camera, voice interaction, Blockly, Python, and XGO-OS.

15 DOF
Quadruped body with robotic arm and gripper
CM5
Raspberry Pi AI computing module
5MP
OV5647 camera for vision demos
610 g
Compact desktop robot platform

Built for real robot learning.

XGO-lite3 is not a sealed toy. It is a compact robot platform for learning motion control, AI perception, voice interaction, and full-stack robotics development.

15-DOF bionic motion

Omnidirectional movement, 6D body posture control, stable gaits, and gripping tasks with bus serial servos.

Robotic arm and gripper

Move beyond walking demos and explore object interaction, classroom challenges, and embodied AI experiments.

Vision and voice

Use the 5MP camera, dual MEMS microphones, speaker, and AI examples for face tracking, gesture recognition, and voice commands.

Blockly to Python

Start with drag-and-drop programming, inspect generated Python, then move into SSH and Linux development.

App and browser control

Control locomotion, posture, and the arm from the XGO mobile app or use browser-based video teleoperation on the same network.

Open development workflow

Use XGO-OS, Python libraries, web services, and AI-assisted coding to build new robot behaviors faster.

CM5 Brain + ESP32 Motion Controller

AI and motion control, separated by design.

The CM5 runs high-level AI, vision, voice, web control, and user programs. The ESP32 motion layer handles real-time gait execution, posture control, and actuator communication.
  • 1
    Use CM5 computing power for XGO-OS, Blockly, Python, visual recognition, and AI interaction.
  • 2
    Use the ESP32 controller for deterministic motion execution and servo communication.
  • 3
    Teach robotics as a complete perception-decision-action system, not just as a remote-control device.

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