Doesn't do
what you want yet?
We teach humanoid robots new skills: recording demonstrations, teleoperating them by hand, and fine-tuning open AI models like GR00T and OpenVLA on top. AI training and development, for Unitree owners and developers.
What we do
Demonstration
We record how a task should be done. No expensive rig required to start: a webcam and open-source hand-tracking already produces usable demonstrations. We scale up to VR or a puppeteering rig if your project needs it.
- Webcam-based teleoperation, no headset needed
- Affordable practice hardware (SO-101, ~€150–300)
- VR teleoperation when you already have the gear
- No robot yet? We start from public datasets
AI development
We fine-tune open foundation models — GR00T, OpenVLA, π0 — on your demonstrations using Hugging Face's LeRobot, or train focused policies with reinforcement learning in simulation. Real skills, not scripted motions.
- Fine-tuning on GR00T, OpenVLA, π0 / π0.5
- LeRobot-based training pipelines
- Public datasets (Open X-Embodiment) or your own
- Reinforcement learning & sim-to-real (Isaac Sim, MuJoCo)
Three ways to teach a robot
Show it
The simplest method: physically guide the robot's arm through the motion (kinesthetic teaching), or let it copy a demonstration. Cheap and direct, but it only scales to simple, repetitive tasks.
Teleoperate it
A human drives the robot remotely. The accessible way in: open-source hand-tracking turns an ordinary webcam into a controller — no headset needed. From there you can scale up to a low-cost arm like the SO-101 (€150–300), a VR headset (Unitree's own xr_teleoperate supports Vision Pro, PICO and Quest), or a puppeteering rig like GELLO. Every recorded run becomes training data.
Fine-tune a foundation model
The modern approach: instead of training from scratch, start from a model already pretrained on hundreds of thousands of robot demonstrations — GR00T (NVIDIA), OpenVLA, or π0 / π0.5 (Physical Intelligence) — and fine-tune it on a few hundred of your own, using Hugging Face's LeRobot toolkit. Days, not months.
From the logbook
Notes on teaching robots new skills, open AI models, and where Optimus and Unitree are headed.