Instructions to use Ngseo/hyundai-uiwang-right-flowmatch-dinov3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Ngseo/hyundai-uiwang-right-flowmatch-dinov3 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Hyundai Uiwang β Diffusion Policy (FlowMatch), RIGHT arm β DINOv3 backbone
LeRobot Diffusion Policy trained on the Hyundai Uiwang right-arm dataset
(118 episodes / 77,490 frames, 30 Hz), FlowMatch scheduler (num_inference_steps=1).
Robot: HDRB + INSPIRE-RH56. Vision encoder: facebook/dinov3-vitb16-pretrain-lvd1689m
(ViT-B/16), pretrained + frozen. Inputs: front_rgb + wrist_rgb + state(26) +
gripper_sensor(30) + wrist_ft_sensor(6) -> action(26).
Load-time requirements (important)
- DINOv3 gated access: loading constructs the backbone via
AutoModel.from_pretrained("facebook/dinov3-vitb16-pretrain-lvd1689m"), which is gated β accept the license on that model page with your HF account first. - lerobot with DINOv3 register-token support: the
Dinov2Backbonewrapper must strip CLS + register tokens (DINOv3 has 4 registers). Use the snu-hyundai fork branch that includes this patch, or the loaded patch features will be misaligned.
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