|
Download README.md from Shcherba/csrl-robohub-data: direct link, hf CLI and curl.
- Browser
- Download file 903 Bytes
-
https://huggingface.co/datasets/Shcherba/csrl-robohub-data/resolve/main/README.md
- Command line
-
hf download hf://datasets/Shcherba/csrl-robohub-data/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Shcherba/csrl-robohub-data/resolve/main/README.md
903 Bytes
| license: other | |
| pretty_name: CSRL simulator data | |
| tags: | |
| - robotics | |
| - reinforcement-learning | |
| - mujoco | |
| # CSRL simulator data | |
| Data a fresh checkout of the CSRL simulator needs (repo `26-sgrl-hhi`, branch `csrl-api`; | |
| going forward `26-csrl-robohub`): | |
| - `configs/` stable-state pools: the start/goal configurations of each scenario | |
| - `models/` the trained TD7 experts (full checkpoints), one per scenario, as referenced by | |
| `files.<scenario>.agent` in the simulator's `config.yaml` | |
| - `assets/` meshes the scenes load (Panda, Reachy Mini, Trossen) | |
| - `mjcf/` MuJoCo exports of every scenario (what runs without rai) | |
| Download into the simulator checkout: | |
| ```bash | |
| hf download Shcherba/csrl-robohub-data --repo-type dataset --local-dir data | |
| ``` | |
| Used by "Estimate, don't imitate" (ICRA 2026; code: `HHI-Robot-Learning/26-DistillingSGRL`). | |
| The robot meshes keep the licenses of their original sources. | |