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README.md
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#
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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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- Built on `Ubuntu 20.04`, `Isaac Sim 4.5.0`, and `ROS Noetic`.
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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.
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- Uses atomic controllers and the simulation engine to automatically generate high-quality training data at scale.
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- Integrates the `FluxVLA` to support training, deployment, and evaluation of mainstream models in high-fidelity simulation environments.
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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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--local-dir assets
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```
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## 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
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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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# 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.
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- Uses atomic controllers and the simulation engine to automatically generate high-quality training data at scale.
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- Integrates the `FluxVLA` to support training, deployment, and evaluation of mainstream models in high-fidelity simulation environments.
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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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--local-dir assets
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```
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## 🙏 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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