| --- |
| pretty_name: FluxBisimAssets |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| tags: |
| - robotics |
| - simulation |
| - 3d-assets |
| - usd |
| viewer: false |
| --- |
| |
| # FluxBisimAsset |
|
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| `FluxBisimAssets` is a simulated 3D asset library used to build task-specific simulation environments in `FluxBisim`. |
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| `FluxBisim` is a dual-arm collaborative manipulation simulation platform built on `Isaac Sim 4.5.0`. Integrated with the `FluxVLA`, it provides a complete simulation workflow for embodied AI tasks, covering scene selection, skill composition, asset configuration, data collection, model training, deployment, and multidimensional evaluation. |
|
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| ## 🦾 FluxBisim |
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| ### Features |
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| - Centers on task composition, flexibly combining primitive skills such as pick-and-place, opening and closing, rotation, pushing and pulling, and handover to create complex dual-arm collaboration tasks that reflect real-world application needs. |
| - Uses atomic controllers and the simulation engine to automatically generate high-quality training data at scale. |
| - Integrates the `FluxVLA` to support training, deployment, and evaluation of mainstream models in high-fidelity simulation environments. |
|
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| ### Project Repository |
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| GitHub: [https://github.com/FluxVLA/FluxBisim](https://github.com/FluxVLA/FluxBisim) |
|
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| ## 🚀 Usage |
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| Download `FluxBisimAssets` into the `assets` folder of `FluxBisim`: |
|
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| ```bash |
| cd FluxBisim |
| mkdir -p assets |
| hf download limxdynamics/FluxBisimAssets \ |
| --repo-type dataset \ |
| --local-dir assets |
| ``` |
|
|
| ## 🙏 Acknowledgements |
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| This library builds on the contributions of the following open-source projects and communities: [YCB Benchmark](https://www.ycbbenchmarks.com/), [Lightwheel SimReady](https://simready.com/), [X-Humanoid ArtVIP](https://huggingface.co/datasets/X-Humanoid/ArtVIP) and [Nvidia Omniverse USD](https://docs.omniverse.nvidia.com/usd/latest/index.html). If we missed your project or contribution, please open an issue or pull request so we can properly acknowledge it. |
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| This library also acknowledges AgileX Robotics for providing the URDF model of the dual-arm robotic platform used in this work. |
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|
