GR00T N1.7 - pick_up_corn (Franka FR3 + Inspire RH56)
Fine-tuned from nvidia/GR00T-N1.7-3B on the pick_up_corn dataset (30 episodes, ~17k frames).
Inference-only weights: DeepSpeed optimizer/scheduler/RNG states are intentionally excluded.
- Embodiment tag: NEW_EMBODIMENT (
new_embodiment) - Task / prompt: "Pick up the corn and place it in the cup"
- Robot: Franka FR3 (7-DOF arm) + Inspire RH56 (6-DOF hand)
- Cameras: tpv, third_person, wrist (480x640)
- Training: ~24,000 steps, global batch 64, 8x A100-80GB
Modality
- state: arm(7) + hand(6)
- action: arm(7, RELATIVE) + hand(6, ABSOLUTE), 16-step prediction horizon
- video: tpv, third_person, wrist
Load (Isaac-GR00T)
python gr00t/eval/run_gr00t_server.py --model-path <this repo> --embodiment-tag new_embodiment
Use the matching modality config (state=arm+hand, action=arm+hand, video=tpv/third_person/wrist).
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Model tree for PID0930/gr00t-n17-pick-up-corn
Base model
nvidia/GR00T-N1.7-3B