Robotics
LeRobot
English
OpenRAL
rskill
diffusion
vision-language-action
pusht
diffusion-policy
manipulation
Instructions to use OpenRAL/rskill-diffusion-pusht-pusht-fp32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use OpenRAL/rskill-diffusion-pusht-pusht-fp32 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
File size: 1,155 Bytes
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"schema_version": "0.1",
"source": {
"paper": "https://arxiv.org/abs/2303.04137",
"arxiv": "https://arxiv.org/abs/2303.04137",
"model_variant": "diffusion",
"evaluated_by": "OpenRAL:openral benchmark scene",
"reproduced_locally": true,
"reproduction_planned": null,
"reproduction_cli": "openral benchmark scene --config scenes/benchmark/pusht.yaml --rskill rskill://rskills/diffusion-pusht",
"table": null,
"status": "reproduced"
},
"benchmark": {
"name": "pusht",
"dataset": null,
"protocol": "1 episodes, seed=0, success_key=is_success, max_steps=300",
"robot": "pusht_2d",
"simulator": "pusht"
},
"eval_config": {
"n_episodes": 1,
"seeds": [
0
],
"success_key": "is_success",
"max_steps": 300,
"vla_id": "diffusion",
"weights_uri": "rskill://rskills/diffusion-pusht"
},
"results": {
"pusht/0_success_rate": 1.0,
"avg_success_rate": 1.0,
"n_tasks": 1,
"n_episodes_per_task": 1,
"n_episodes_total": 1,
"mean_step_latency_ms_avg": 246.9849692727758,
"mean_coverage_iou": 1.0
},
"baselines": {},
"trace_id": null
} |