| | --- |
| | license: bsd-3-clause |
| | pipeline_tag: robotics |
| | task_categories: |
| | - robotics |
| | --- |
| | |
| | <div align="center"> |
| | <h1> ALMI-trans </h1> |
| | </div> |
| | <h5 align="center"> |
| | <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> |
| | </h5> |
| | |
| | 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. |
| |
|
| | 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. |
| |
|
| | # ALMI-X Collection and Model Architecture |
| |
|
| |  |
| |
|
| | # Citation |
| |
|
| | If you find our work helpful, please cite us: |
| |
|
| | ``` |
| | @misc{shi2025almi, |
| | title={Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning}, |
| | author={Jiyuan Shi and Xinzhe Liu and Dewei Wang and Ouyang Lu and Sören Schwertfeger and Fuchun Sun and Chenjia Bai and Xuelong Li}, |
| | year={2025}, |
| | eprint={2504.14305}, |
| | archivePrefix={arXiv}, |
| | primaryClass={cs.RO}, |
| | url={https://arxiv.org/abs/2504.14305}, |
| | } |
| | ``` |