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leepanic/gr00t-n1.6-pick-cube
gr00t-n1.6-pick-cube is a robotics model from leepanic. Use it for the robotics task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Fine-tune of nvidia/GR00T-N1.6-3B on a Unitree pickcubedemo teleop dataset.
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From the Hugging Face model README
Fine-tune of nvidia/GR00T-N1.6-3B on a Unitree pick_cube_demo teleop dataset.
Task instruction: pick up cube and place it on the green plate.
left_arm(7) right_arm(7) left_ee(7) right_ee(7) body(35)left_arm(7) right_arm(7) left_ee(7) right_ee(7) body(3)ego_view at 640×480, 30 fpsNEW_EMBODIMENTModality config: examples/pick_cube/pick_cube_config.py in the Isaac-GR00T fork used for training.
| base model | nvidia/GR00T-N1.6-3B |
| steps | 10,000 |
| global batch size | 64 |
| learning rate | 1e-4 (warmup ratio 0.05) |
| weight decay | 1e-5 |
| GPUs | 4 |
| color jitter | brightness 0.3, contrast 0.4, saturation 0.5, hue 0.08 |
from gr00t.model.policy import Gr00tPolicy
from gr00t.data.embodiment_tags import EmbodimentTag
policy = Gr00tPolicy(
model_path="leepanic/gr00t-n1.6-pick-cube",
embodiment_tag=EmbodimentTag.NEW_EMBODIMENT,
modality_config=pick_cube_config, # see examples/pick_cube/pick_cube_config.py
)
Only the final model weights are published here — intermediate training checkpoints are not included.