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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