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license: apache-2.0
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license: apache-2.0
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# RoboDual
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This repo contains the checkpoint for the generalist policy of our paper: \
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**Towards Synergistic, Generalized and Efficient Dual-System for Robotic Manipulation**
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## Performance
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The pre-trained OpenVLA with action chunk size of 8 can achieve around 3.27 average length on CALVIN ABC-D test suite:
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|Method| 1 | 2 | 3 | 4 | 5 | Avg.Len. |
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|------|------|------|------|------|------|---------|
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|RoboDual (Generalist-only)| 91.3 | 77.8 | 62.0 | 52.1 | 43.5 | 3.27 |
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## How to use
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You can simply modify the ```vla_path``` in [FeintuneConfig](https://github.com/OpenDriveLab/RoboDual/blob/4a31a7a59e2082c67c659c629822b708cb029e91/vla-scripts/train_spacialist_calvin.py#L169) of the specialist training script according to your local path.
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## Citation
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If you find our code or models useful in your work, please cite [our paper](https://arxiv.org/abs/2410.08001):
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```bibtex
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@article{bu2024robodual,
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title={Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation},
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author={Qingwen Bu and Hongyang Li and Li Chen and Jisong Cai and Jia Zeng and Heming Cui and Maoqing Yao and Yu Qiao},
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journal={arXiv preprint arXiv:2410.08001},
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year={2024}
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}
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