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+ ---
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+ license: apache-2.0
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+ tags:
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+ - robotics
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+ - inverse-dynamics-model
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+ - idm
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+ - omx
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+ - gr00t
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+ ---
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+
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+ # IDM-OMX-v3-50K
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+
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+ NVIDIA GR00T IDM (Inverse Dynamics Model) fine-tuned for ROBOTIS OMX-F robot.
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+
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+ ## Model Details
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+
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+ - **Architecture**: SiGLIP2(768d) → VL Transformer(4L) → DiT(8L, 1024d)
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+ - **Parameters**: 612M
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+ - **Embodiment**: OMX (slot 30)
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+ - **Action Space**: 6-DOF delta joint angles (radians), 30 FPS
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+ - **Action Horizon**: 16 steps
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+
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+ ## Training
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+
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+ - **Base Model**: IDM-OMX-v2 (20K steps checkpoint)
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+ - **Dataset**: 558 episodes, 257,466 frames (OMX combined + SO-101 megamix FK→IK converted)
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+ - **Steps**: 50,000 (6.21 epochs)
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+ - **Batch Size**: 16 (effective 32 with gradient accumulation)
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+ - **Learning Rate**: 1e-4 (cosine schedule)
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+ - **Duration**: 5h 08min on RTX 5090
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+ - **Final Train Loss**: 0.2644
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+
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+ ## Evaluation
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+
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+ | Metric | Baseline (10K) | v2 (20K) | **v3 (50K)** |
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+ |--------|:-:|:-:|:-:|
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+ | Normalized MAE | 0.6092 | 0.5582 | **0.3551 (-36.4%)** |
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+ | Forward Loss | 0.3942 | 0.3453 | **0.2517 (-27.1%)** |
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+
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+ ### Per-Joint MAE (degrees)
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+
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+ | Joint | v2 | v3 | Change |
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+ |-------|---:|---:|---:|
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+ | shoulder_pan | 82.12 | 71.76 | -12.6% |
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+ | shoulder_lift | 83.01 | 72.74 | -12.4% |
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+ | elbow_flex | 65.65 | 30.12 | **-54.1%** |
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+ | wrist_flex | 141.40 | 96.43 | **-31.8%** |
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+ | wrist_roll | 67.87 | 56.43 | -16.9% |
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+ | gripper | 6.50 | 4.21 | -35.2% |
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+
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+ ## Usage
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+
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+
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+
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+ ### Pseudo-label Extraction
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+
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+
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+
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+ ## Citation
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+
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+ Based on [NVIDIA GR00T IDM](https://github.com/NVIDIA-Omniverse/GR00T-Dreams).