Instructions to use OpenRAL/rskill-act-aloha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use OpenRAL/rskill-act-aloha with LeRobot:
- Notebooks
- Google Colab
- Kaggle
| { | |
| "schema_version": "0.1", | |
| "source": { | |
| "paper": "https://arxiv.org/abs/2304.13705", | |
| "arxiv": "https://arxiv.org/abs/2304.13705", | |
| "model_variant": "act", | |
| "evaluated_by": "OpenRAL:openral benchmark run", | |
| "reproduced_locally": true, | |
| "reproduction_planned": null, | |
| "reproduction_cli": "openral benchmark run --suite aloha_transfer_cube --rskill rskill://act-aloha", | |
| "table": null, | |
| "status": "reproduced" | |
| }, | |
| "benchmark": { | |
| "name": "ALOHA bimanual cube transfer (gym-aloha)", | |
| "dataset": null, | |
| "protocol": "50 episodes per task, success_key=is_success, max_steps=400", | |
| "robot": "aloha_bimanual", | |
| "simulator": "gym-aloha (MuJoCo)" | |
| }, | |
| "eval_config": { | |
| "n_episodes": 50, | |
| "seeds": [ | |
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| ], | |
| "success_key": "is_success", | |
| "max_steps": 400, | |
| "vla_id": "act", | |
| "weights_uri": "rskill://rskills/act-aloha" | |
| }, | |
| "results": { | |
| "aloha_transfer_cube/0_success_rate": 0.82, | |
| "avg_success_rate": 0.82, | |
| "n_tasks": 1, | |
| "n_episodes_per_task": 50, | |
| "n_episodes_total": 50, | |
| "mean_step_latency_ms_avg": 10.794657473535338 | |
| }, | |
| "baselines": {} | |
| } | |