---
pretty_name: FluxBisimAssets
license: cc-by-nc-4.0
language:
  - en
tags:
  - robotics
  - simulation
  - 3d-assets
  - usd
viewer: false
---

# FluxBisimAsset

`FluxBisimAssets` is a simulated 3D asset library used to build task-specific simulation environments in `FluxBisim`.

`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.

## 🦾 FluxBisim

### Features

- 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.

### Project Repository

GitHub: [https://github.com/FluxVLA/FluxBisim](https://github.com/FluxVLA/FluxBisim)

## 🚀 Usage

Download `FluxBisimAssets` into the `assets` folder of `FluxBisim`:

```bash
cd FluxBisim
mkdir -p assets
hf download limxdynamics/FluxBisimAssets \
  --repo-type dataset \
  --local-dir assets
```

## 🙏 Acknowledgements

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.

This library also acknowledges AgileX Robotics for providing the URDF model of the dual-arm robotic platform used in this work.