Instructions to use OpenRAL/rskill-act-aloha-insertion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use OpenRAL/rskill-act-aloha-insertion with LeRobot:
- Notebooks
- Google Colab
- Kaggle
File size: 1,617 Bytes
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"schema_version": "1",
"source": {
"paper": "https://arxiv.org/abs/2304.13705",
"arxiv": "https://arxiv.org/abs/2304.13705",
"model_variant": "act",
"evaluated_by": "OpenRAL:ral benchmark run",
"reproduced_locally": true,
"reproduction_planned": null,
"reproduction_cli": "ral benchmark run --suite aloha_insertion --rskill rskill://act-aloha-insertion",
"table": null,
"status": "reproduced"
},
"benchmark": {
"name": "ALOHA bimanual peg insertion (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-insertion"
},
"results": {
"aloha_insertion/0_success_rate": 0.2,
"avg_success_rate": 0.2,
"n_tasks": 1,
"n_episodes_per_task": 50,
"n_episodes_total": 50,
"mean_step_latency_ms_avg": 10.16975808690558
},
"baselines": {}
}
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