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GenieSimAssets

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魔搭社区2026-07-15 更新2025-08-09 收录
下载链接:
https://modelscope.cn/datasets/WangC23/GenieSimAssets
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<img src="geniesim.jpg" alt="Image Alt Text" width="80%" style="display: block; margin-left: auto; margin-right: auto;" /> <div align="center"> <a href="https://github.com/AgibotTech/genie_sim"> <img src="https://img.shields.io/badge/GitHub-grey?logo=GitHub" alt="GitHub"> </a> <a href="https://huggingface.co/datasets/agibot-world/GenieSimAssets"> <img src="https://img.shields.io/badge/HuggingFace-yellow?logo=HuggingFace" alt="HuggingFace"> </a> <a href="https://agibot-world.com/sim-evaluation"> <img src="https://img.shields.io/badge/Genie%20Sim%20Benchmark-blue?style=plastic" alt="Genie Sim Benchmark"> </a> <a href="https://genie.agibot.com/en/geniestudio"> <img src="https://img.shields.io/badge/Genie_Studio-green?style=flat" alt="Genie Studio"> </a> </div> # Key Features 🔑 - **22 scenarios** including supermarket, cafeteria and home - **600+** objects 1:1 replicated from real-life # Get started 🔥 ## Download the Simulation Assets To download the full assets, you can use the following code. If you encounter any issues, please refer to the official Hugging Face documentation. ``` # Make sure you have git-lfs installed (https://git-lfs.com) git lfs install # When prompted for a password, use an access token with write permissions. # Generate one from your settings: https://huggingface.co/settings/tokens git clone https://huggingface.co/datasets/agibot-world/GenieSimAssets # If you want to clone without large files - just their pointers GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/agibot-world/GenieSimAssets ``` ## Assets Structure ### Folder hierarchy ``` assets ├── G1_120s # G1_120s Robot │   ├── G1_120s.usda │   └── ... ├── G1_omnipicker # G1_omnipicker Robot │   ├── G1_omnipicker.usda │   └── ... ├── materials # materials │   ├── carpet │   ├── hdri │   ├── stone │   └── wood ├── objects # objects │   ├── benchmark │   ├── genie │   ├── iros │   └── lightwheelai ├── README.md └── scenes # scenes ├── genie ├── guanglun └── iros ``` # License and Citation All the data and code within this repo are under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). Please consider citing our project if it helps your research. ```BibTeX @misc{contributors2025geniesimrepo, title={Genie Sim Assets}, author={Genie Sim Team}, howpublished={https://github.com/AgibotTech/genie_sim}, year={2025} } ```

<img src="geniesim.jpg" alt="图片替代文本" width="80%" style="display: block; margin-left: auto; margin-right: auto;" /> <div align="center"> <a href="https://github.com/AgibotTech/genie_sim"> <img src="https://img.shields.io/badge/GitHub-grey?logo=GitHub" alt="GitHub"> </a> <a href="https://huggingface.co/datasets/agibot-world/GenieSimAssets"> <img src="https://img.shields.io/badge/HuggingFace-yellow?logo=HuggingFace" alt="HuggingFace"> </a> <a href="https://agibot-world.com/sim-evaluation"> <img src="https://img.shields.io/badge/Genie%20Sim%20Benchmark-blue?style=plastic" alt="Genie Sim Benchmark"> </a> <a href="https://genie.agibot.com/en/geniestudio"> <img src="https://img.shields.io/badge/Genie_Studio-green?style=flat" alt="Genie Studio"> </a> </div> # 核心特性 🔑 - **22个场景**,涵盖超市、餐厅与家庭场景 - **600+** 实物1:1复刻的仿真物体 # 快速开始 🔥 ## 获取仿真资产 如需下载完整资产包,可使用如下代码。若遇到问题,请参阅官方Hugging Face(HuggingFace)文档。 # 请确保已安装Git大文件存储(Git Large File Storage,git-lfs),访问地址:https://git-lfs.com git lfs install # 当提示输入密码时,请使用具备写入权限的访问令牌。可从以下地址生成令牌:https://huggingface.co/settings/tokens git clone https://huggingface.co/datasets/agibot-world/GenieSimAssets # 若仅需克隆大文件的指针而非完整文件(跳过大文件下载) GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/agibot-world/GenieSimAssets ## 资产结构 ### 文件夹层级结构 assets ├── G1_120s # G1_120型机器人 │ ├── G1_120s.usda │ └── ... ├── G1_omnipicker # G1_omnipicker型机器人 │ ├── G1_omnipicker.usda │ └── ... ├── materials # 材质库 │ ├── carpet # 地毯材质 │ ├── hdri # HDRI环境贴图 │ ├── stone # 石材材质 │ └── wood # 木材材质 ├── objects # 物体库 │ ├── benchmark # 基准测试物体 │ ├── genie # Genie系列物体 │ ├── iros # IROS相关物体 │ └── lightwheelai # LightWheelAI相关物体 ├── README.md # 项目说明文档 └── scenes # 场景库 ├── genie # Genie系列场景 ├── guanglun # 广轮系列场景 └── iros # IROS相关场景 # 许可与引用 本仓库内的所有数据与代码均遵循[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)知识共享署名-非商业性使用-相同方式共享4.0国际许可协议。若本项目对您的研究有所帮助,请考虑引用我们的工作。 BibTeX @misc{contributors2025geniesimrepo, title={Genie Sim Assets}, author={Genie Sim Team}, howpublished={https://github.com/AgibotTech/genie_sim}, year={2025} }
提供机构:
maas
创建时间:
2025-08-06
搜集汇总
数据集介绍
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背景与挑战
背景概述
GenieSimAssets是一个机器人操作仿真数据集,包含22个真实场景(如超市、餐厅)和600多个1:1复刻的真实物体,数据规模15.32GB。该数据集专为机器人双臂操作仿真设计,采用Apache 2.0开源协议。
以上内容由遇见数据集搜集并总结生成
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