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XGO-lite3/mini2S

XGO-lite3/mini2S: World’s First Raspberry Pi Robotic Dog with An Arm

Intelligent, agile, and open-sourced, XGO brings the latest automated robotic dog technology to your desk at an affordable price.The 15-DOF Series: Mobile Manipulation for Everyone.

In 2023 KickStarter, XGO 2, World’s First Raspberry Pi Robotic Dog with An Arm

1.Quadruped Platform (lite3 & mini2S)

The XGO Quadruped Platform is more than just a robot dog; it is a Desktop Mobile Manipulator. Both the lite3 and mini2S come standard with a 15-DOF architecture: 12 DOF for Locomotion: Enabling omnidirectional movement, 6D posture control, and terrain adaptation. 3 DOF for Manipulation: An integrated Robotic Gripper (Arm) for picking, placing, and interacting with the environment.Powered by the unified Raspberry Pi CM5 brain, they share the same codebase but utilize distinct actuation technologies to serve different developmental stages.

Feature

XGO-lite3 (Education)

XGO-mini2S(Research)

Servo Torque

2.3 KG.CM

4.5 KG.CM

Motor Technology

Core Motor (Potentiometer)

Hollow Cup Motor (Magnetic Encoder)

Motion Range

0-300°

0-360°Continuous

Body Material

Aviation Aluminum + ABS Legs

Aviation Aluminum + Silicone/ABS Legs

Weight

610g (Lightweight)

915g (Heavy Duty)

Battery

2500mAh 2S (3C Discharge)

3800mAh 2S (3C Discharge)

Charging

5V USB Type-C

🔌 8.4V DC Adapter (4A)

Table.1 Selection Matrix: Education vs. Research

⚠️ CRITICAL POWER WARNING

XGO-lite3 is designed for convenience: Charge via standard USB Type-C (5V).

XGO-mini2S requires performance power: Charge via the included 8.4V 4A DC Charger.

Fig.1 XGO-lite3

Fig.2 XGO-mini2S

2. Detailed Specifications

2.1 XGO-lite3: The Agile Classroom Companion

A lightweight, fully assembled platform ready for Python and Blockly education.

  • Processor: Raspberry Pi CM5 (Edge AI Computing).

  • Sensors: 6-Axis IMU, Joint Position Sensors.

  • Vision/Audio: 2.0" IPS Screen, 5MP Camera (OV5647), Dual MEMS Mic, 8Ω2W Speaker.

  • Key Features:

    Quiet Operation: Optimized for classroom environments.

  1. Move & Record: Teach the robot movements by hand-guiding the joints.

  • Included Kit: Protective Case, Type-C Hub, HDMI Cable, Color Blocks.

2.2 XGO-mini2S: The High-Performance Lab Platform

Engineered for advanced algorithm verification and secondary development.

  • Processor: Raspberry Pi CM5 (Edge AI Computing).

  • Advanced Actuation: Uses Hollow Cup Motors (Coreless) for rapid response and Magnetic Encoders for 0.01° accuracy.

  • Vision/Audio: 2.0" IPS Screen, 5MP Camera (OV5647), Dual MEMS Mic, 8Ω2W Speaker.

  • Key Features:

  1. Omnidirectional Motion: Decoupled kinematics allowing strafing and turning simultaneously.

  1. High Torque: Capable of dynamic gaits and carrying heavier sensor payloads.

  • Included Kit: Aluminum Case, 8.4V 4A Fast Charger, Type-C Hub, Color Blocks.

2.2 XGO-mini2S with Ridar

Fig.3 XGO-mini2S with Ridar

EAI YDLIDAR T-mini PLUS

Parameter

Value

Notes

Ranging Radius

0.05 - 12m

@80% reflectivity; 0.05 - 4m @10% reflectivity

Ranging Accuracy

±20mm

Full range systematic error

Scanning Frequency

6 - 12Hz

Software adjustable, default 6Hz

Ranging Frequency

4000Hz

High sampling rate

Scanning Angle

360°

Omni-directional scanning

Ambient Light Resistance

60000 Lux

Strong anti-interference ability

Additional Key Specifications

  • Angle Resolution: 0.54°

  • Laser Safety: FDA Class I (Eye safe)

  • Supply Voltage: 4.8V - 5.2V (Typical 5.0V)

  • Communication Interface: UART / GH1.25-4P

  • Dimensions: 38.6mm × 38.6mm × 33.9mm

  • Weight: Approx. 45g

3. Core Technologies

Despite their mechanical differences, both robots share Luwu Intelligence's core control stack:

  • IMU Self-Stabilization: Closed-loop attitude control ensures the chassis remains level even when the surface tilts or moves.

  • 6-DOF Posture Control: The feet remain fixed while the body adjusts Pitch, Roll, Yaw, Heave, Surge, and Sway.

  • Kinematics Simulation: Fully compatible with Rviz / Gazebo for simulation-to-reality (Sim2Real) workflows.

  • AI Ecosystem: Native support for Machine Vision (Face/Gesture), Speech Recognition, and Secondary Development via Serial Protocol.