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README.md

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+---
+license: mit
+library_name: pytorch
+tags:
+- robotics
+- libero
+- vision-language-action
+- imitation-learning
+- manipulation
+datasets:
+- gate-institute/GATE-VLAP-datasets
+---
+
+# GATE-VLAP: Grounded Action Trajectory Embeddings with Vision-Language Action Planning
+
+**Trained on LIBERO-10 Benchmark**
+
+This model is trained for robotic manipulation tasks using vision-language-action learning with semantic action chunking.
+
+## Model Details
+
+- **Architecture**: CLIP-RT (CLIP-based Robot Transformer)
+- **Training Dataset**: [GATE-VLAP LIBERO-10](https://huggingface.co/datasets/gate-institute/GATE-VLAP-datasets)
+- **Training Epochs**: 90
+- **Task Type**: Long-horizon robotic manipulation
+- **Input**: RGB images (128×128) + language instructions
+- **Output**: 7-DOF actions (xyz, rpy, gripper)
+
+## Training Details
+
+- **Dataset**: LIBERO-10 (29 subtasks, 1,354 demonstrations)
+- **Segmentation**: Semantic action chunking using Gemini Vision API
+- **Framework**: PyTorch
+- **Checkpoint**: Epoch 90
+
+## Usage
+
+```python
+import torch
+from pathlib import Path
+
+# Load checkpoint
+checkpoint = torch.load(
+    "checkpoints/libero_10_fixed_training_v1/epoch_90.pt",
+    map_location="cuda"
+)
+
+# Extract model state
+model_state = checkpoint['model_state_dict']
+
+# TODO: Add inference code here
+```
+
+## Performance
+
+Training run: `libero_10_fixed_training_v1`
+
+*Add your metrics here after evaluation*
+
+## Dataset
+
+This model was trained on the [GATE-VLAP Datasets](https://huggingface.co/datasets/gate-institute/GATE-VLAP-datasets), which includes:
+- LIBERO-10: 103,650 frames across 29 subtasks
+- Semantic action segmentation
+- Vision-language annotations
+
+## Citation
+
+```bibtex
+@article{gateVLAP2024,
+  title={GATE-VLAP: Grounded Action Trajectory Embeddings with Vision-Language Action Planning},
+  author={[Your Name]},
+  journal={arXiv preprint arXiv:XXXX.XXXXX},
+  year={2024}
+}
+```
+
+## Maintainer
+
+**GATE Institute** - Advanced AI Research Group, Sofia, Bulgaria
+
+## Links
+
+- 🤗 **Dataset**: [gate-institute/GATE-VLAP-datasets](https://huggingface.co/datasets/gate-institute/GATE-VLAP-datasets)
+- 📄 **Paper**: *Coming soon*
+- 💻 **Code**: *Add your GitHub repo here*
+
+## License
+
+MIT License