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--- |
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task_categories: |
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- robotics |
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pipeline_tag: robotics |
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--- |
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<div align="center"> |
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<h1> ALMI-trans </h1> |
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</div> |
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<h5 align="center"> |
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<a href="https://almi-humanoid.github.io/"> 🔥 Homepage</a> | <a href="https://huggingface.co/datasets/TeleEmbodied/ALMI-X">⛁ Dataset</a> | <a href="https://huggingface.co/TeleEmbodied/ALMI-trans">🤗 Models</a> | <a href="https://arxiv.org/abs/2504.14305">📑 Paper</a> | <a href="https://github.com/TeleHuman/ALMI-Open/">💻 Code</a> |
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</h5> |
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This repo contains the humanoid foundation model trained using ALMI-X dataset as mentioned in our paper [Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning](https://almi-humanoid.github.io/). We realse the exported models corresponding to `CL-20sl` and `CL-400sl` in our paper. |
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You can find model training and inference code [here](https://github.com/TeleHuman/ALMI-Open/). Following the guidance you can train and play your own humanoid foundation model in Mujoco simulation with ALMI-X dataset. |
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# ALMI-X Collection and Model Architecture |
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# Citation |
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If you find our work helpful, please cite us: |
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``` |
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@misc{shi2025almi, |
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title={Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning}, |
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author={Jiyuan Shi and Xinzhe Liu and Dewei Wang and Ouyang Lu and Sören Schwertfeger and Fuchun Sun and Chenjia Bai and Xuelong Li}, |
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year={2025}, |
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eprint={2504.14305}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.RO}, |
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url={https://arxiv.org/abs/2504.14305}, |
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} |
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``` |