Instructions to use dodoleonarnci/uf850-groot-pickplace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use dodoleonarnci/uf850-groot-pickplace with LeRobot:
- Notebooks
- Google Colab
- Kaggle
UF850 GR00T-N1.7 fine-tune (pick & place)
Fine-tune of NVIDIA Isaac-GR00T N1.7-3B on UFactory 850 Meta-Quest teleoperation demos.
- Base model: nvidia/GR00T-N1.7-3B
- Embodiment:
NEW_EMBODIMENT(7-DoF: joints j1..j6 + gripper) - Task: "Pick up the cube. Place it on box. Pick up the cube again. Place it on table."
- Data: 101 LeRobot v2.1 episodes, base + wrist cameras (640x480 @ 30 fps)
- Training: 20,000 steps, global batch 32, action-head fine-tune (frozen VLM backbone)
- Final loss: 0.0237 (min 0.0198)
Inference checkpoint — optimizer state omitted. Load with the Isaac-GR00T stack using the
NEW_EMBODIMENT modality config (single_arm 0:6 + gripper 6, base/wrist cameras).
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Model tree for dodoleonarnci/uf850-groot-pickplace
Base model
nvidia/GR00T-N1.7-3B