| --- |
| pretty_name: RobotAgentBench simulation assets |
| license: other |
| license_name: robotagentbench-asset-terms |
| license_link: LICENSE.md |
| viewer: false |
| tags: |
| - robotics |
| - embodied-ai |
| - simulation |
| - benchmark |
| --- |
| |
| # RobotAgentBench simulation assets |
|
|
| Version 0.1.0 supplies simulation assets, initial-state resources and the full |
| Context Reasoning question banks and standard answers for RobotAgentBench. |
| Evaluation code: https://github.com/AetherLabsAI/RobotAgentBench/tree/main. |
|
|
| The benchmark covers 18 short tasks, 8 long tasks, Task Discovery, Context |
| Reasoning, Failure Recovery, Robustness, and four OpenEnd household scenarios. |
| Isaac Sim and native SDK dependencies are installed separately. |
|
|
| ## Install |
|
|
| Install the evaluator from its code repository, then use its versioned manifest: |
|
|
| ```sh |
| robotagentbench assets fetch resources/assets-0.1.0.json --cache downloads |
| robotagentbench assets install resources/assets-0.1.0.json --cache downloads --destination Assets |
| robotagentbench assets configure resources/assets-0.1.0.json --destination Assets --runtime Runtime --profile room |
| ``` |
|
|
| For offline installation, copy all release archive parts into `downloads`. |
| Do not concatenate them. The installer verifies archive and member hashes. |
| Use separate fresh runtime directories for `room`, `atomic_coffee`, |
| `failure_recovery`, and `cloth` profiles. Standard answers are evaluator data; |
| they are not part of the agent observation interface. |
|
|
| ## Saved initial configurations |
|
|
| The separate configuration release contains **1,470 saved initial configurations**: |
| 30 for each of 49 task or scenario groups. These are release configurations for |
| reproducible evaluation, not the exact instances used for the paper's reported |
| results. Each record retains its accepted seed and initial state. |
|
|
| Install the shared assets once. Configurations store task parameters, poses, |
| robot initialization and required cloth-state arrays; they do not duplicate |
| the room geometry and textures for every episode. |
|
|
| ```sh |
| python -m robotagentbench.simulation.saved_instance_release.download \ |
| --manifest resources/saved-instances-0.1.0.json \ |
| --cache downloads/configurations --destination /absolute/path/to/SavedConfigurations |
| ``` |
|
|
| See the [configuration guide](https://github.com/AetherLabsAI/RobotAgentBench/blob/main/docs/INSTANCES.md) |
| for selection and restoration, and the repository's InternVLA and Codex examples |
| for connecting an agent. The fine-tuned InternVLA model is available at |
| [AetherLabs-AI/InternVLA-A1.5-RAB](https://huggingface.co/AetherLabs-AI/InternVLA-A1.5-RAB). |
|
|
| ## Licenses |
|
|
| Team-authored materials use CC BY 4.0. Third-party resources retain their own |
| terms, including CC BY-NC-SA 4.0 for the AgiBot GenieSim robot resources. |
| See [LICENSE.md](LICENSE.md), [NOTICE.md](NOTICE.md), and `LICENSES/`. |
| The license archive is included in the installer manifest so these notices |
| accompany automatic asset downloads. The code's Apache-2.0 license does not |
| relicense simulation assets or third-party materials. |
|
|
