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@@ -8,32 +8,10 @@ tags:
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  - robotics
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  - manipulation
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  - vision-language-action
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- - multi-view
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- - viewpoint-robustness
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- - libero
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  ---
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  # X-Actor-GR00T
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- **X-Actor** method applied to the **GR00T-N1.5-3B** vision-language-action backbone, fine-tuned on LIBERO for **camera-viewpoint–robust** robotic manipulation.
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- X-Actor adds an object-aware multi-view foresight representation to the policy and injects it into the action expert through a zero-initialized adapter. At init the model is equivalent to the bare backbone; training then teaches it to stay accurate when the agent-view camera is rotated/shifted — the regime where standard VLAs collapse.
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-
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- ## Base model & license (please read)
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- This checkpoint is a **fine-tune of NVIDIA GR00T-N1.5-3B and embeds its weights**. Your use of these weights is governed by **NVIDIA's GR00T-N1.5 model license** (link above). A frozen **DINOv2-with-registers** (Meta) encoder is used as an auxiliary visual feature extractor. X-Actor is the fine-tuning/representation method; the foundation model is NVIDIA's.
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- ## What it shows (LIBERO-Spatial, agent-view camera perturbation)
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- Like-for-like, same GR00T-N1.5 backbone, **X-Actor vs. the bare backbone**:
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- | perturbation | X-Actor + GR00T | bare GR00T-N1.5 |
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- |---|---|---|
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- | clean | **96.0** | 91.5 |
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- | yaw 15° | **56.7** | 13.3 |
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- | yaw 30° | **45.5** | 0.0 |
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- | yaw 45° | **33.0** | 0.0 |
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- | pitch 30° | **33.0** | 3.3 |
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- The bare backbone drops to ~0% under ≥30° viewpoint rotation; X-Actor recovers a large fraction of the success rate while keeping clean performance.
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-
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- ## Intended use
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- Research checkpoint for studying viewpoint-robust manipulation policies on LIBERO. Not a production controller.
 
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  - robotics
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  - manipulation
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  - vision-language-action
 
 
 
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  ---
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  # X-Actor-GR00T
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+ X-Actor checkpoint built on the **GR00T-N1.5-3B** backbone, fine-tuned on LIBERO.
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+ **Base model & license:** this checkpoint embeds **NVIDIA GR00T-N1.5-3B** weights; use is governed by NVIDIA's GR00T-N1.5 model license (link above). DINOv2-with-registers (Meta) is used as a frozen feature extractor.