Reach beyond
movement.
Program the 4-DoF arm alongside the legs and wheels. Turn a motion sequence into a hands-on experiment.
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Learn, code, and build with XGO-mini2SW, a wheeled-legged robot dog equipped with LiDAR and designed for AI robotics exploration. Powered by Raspberry Pi CM5, it brings together reinforcement learning, multimodal AI, and open-source development in one versatile platform. Explore AI-assisted coding, develop your own applications, and bring your robotics ideas to life.
SMALL FOOTPRINT. BIG AMBITIONS.
Go from lines of code to movement you can see.
XGO-mini2SW with LiDAR brings mobility, manipulation, and AI together.
Articulated leg control
Powered rolling motion
Integrated robotic arm
Raspberry Pi · 4GB RAM
Wheels bring efficient movement on flat surfaces. Articulated legs bring flexibility in posture and motion. See it in motion across four everyday settings.
Meet the hardware ↗
Program the 4-DoF arm alongside the legs and wheels. Turn a motion sequence into a hands-on experiment.
Integrated BLDC wheel modules with FOC control put powered mobility at the end of each leg.
OPEN REINFORCEMENT LEARNING
Give your curiosity a training ground. With luwu_mjlab, you can develop and evaluate motion policies in GPU-accelerated MuJoCo simulation.
Explore the open toolkit01 / WALKING
Explore flat-ground walking with a Mini2SW-specific task. Tune rewards for velocity tracking, gait, and smooth actions.
02 / RECOVERY
Investigate recovery from varied starting orientations. The Mini2SW recovery task lets you experiment with how a robot returns to an upright posture.
Simulation examples from the official Luwu toolkit. Collapse a demo to hide its animation.
Run parallel simulation environments and learn motion policies with PPO.
Review training progress in TensorBoard and replay saved checkpoints.
Export policies to ONNX with metadata for further integration and hardware development.
MORE THAN MOVEMENT
“Hi Luka.” Two words.
A new way to interact.
Ask about what’s in front of the camera. Trigger supported actions with your voice. Customize its personality, voice, and memory through Luwu-OS.
Cloud AI requires internet access and a compatible API key. Provider charges may apply. Features vary with software and service configuration.
FROM FIRST SCRIPT TO NEXT EXPERIMENT
Start with an idea. Build a behavior.
Keep going with an open development platform.
THE DETAILS THAT MATTER
A compact platform with room for ambitious projects.
| Main computer | Raspberry Pi CM5 · 4GB RAM |
|---|---|
| Motion controller | ESP32 |
| Actuators | 20 total 12 leg servos + 4 arm servos + 4 powered wheels |
| Robotic arm | 4 degrees of freedom |
| Wheel drive | 8.4V BLDC motors · FOC control |
| Leg servos | 6V · 4.5 kg·cm Steel gears, magnetic encoders, TTL serial control |
| Frame | 1.5mm aluminum alloy |
| Weight | 1,150g |
| Battery | 18650 · 2S · 3,800mAh |
| Operating time | Approximately 2 hours* |
| Charging port | DC barrel connector |
*Operating time varies with use. Dimensions and weight are base-platform references. Confirm final LiDAR-equipped dimensions, weight, and shipping configuration when ordering.
It is a platform for makers, educators, and developers exploring robotics. Graphical programming offers a starting point, while ROS 2 and reinforcement learning suit users ready for a more technical setup.
Yes. The Luwu-OS documentation includes English interaction with the wake phrase “Hi Luka.” Cloud conversation requires a compatible API key and internet access.
The toolkit trains motion policies in a compatible NVIDIA GPU environment, including the documented Colab route. Evaluate and export your policy before adapting it to the physical robot.
This page features the XGO-mini2SW with LiDAR configuration, shown with a top-mounted LiDAR unit. Confirm the LiDAR model and complete package contents when ordering.
The repository includes dedicated Mini2SW tasks for flat-ground walking and recovery. Use them as starting points to study learned motion and develop your own experiments.
Yes. The task configurations expose rewards and observations, while training settings let you adjust your experiments. Save checkpoints, compare runs, and export policies to ONNX.
The official knowledge base covers startup, network setup, programming, firmware maintenance, and advanced development. Use the links on this page to explore the documentation.
THE NEXT STEP STARTS HERE
Setup guides, programming tutorials, and hardware references.
Everything you need for your next experiment.
Set up. Explore. Start building.