# AgiBot-World **Repository Path**: sungq5/AgiBot-World ## Basic Information - **Project Name**: AgiBot-World - **Description**: 稚晖君 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-01-03 - **Last Updated**: 2025-01-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README
![agibot_world](https://github.com/user-attachments/assets/df64b543-db82-41ee-adda-799970e8a198) [![Static Badge](https://img.shields.io/badge/Download-grey?style=plastic&logo=huggingface&logoColor=yellow)](https://huggingface.co/agibot-world) [![Static Badge](https://img.shields.io/badge/Project%20Page-blue?style=plastic)](https://agibot-world.com) ![Static Badge](https://img.shields.io/badge/License-MIT-blue?style=plastic)
## Key Features 🔑 - **1 million+** trajectories from 100 robots. - **100+ 1:1 replicated real-life scenarios** across 5 target domains. - **Cutting-edge hardware:** visual tactile sensors / 6-DoF Dexterous hand / mobile dual-arm robots - **Wide-spectrum versatile challenging tasks**
Contact-rich Manipulation

Contact-rich Manipulation

Long-horizon Planning

Long-horizon Planning

Multi-robot Collaboration

Multi-robot Collaboration

## News📰 - **`[2024/12/30]`** 🤖 Agibot World Alpha released. ## Table of Contents 1. [Key Features](#keyfeatures) 2. [Getting Started](#gettingstarted) - [How to Get Started with Our AgiBot World Data](#preaparedata) - [Policy Learning Quickstart](#training) 3. [TODO List](#todolist) 4. [License and Citation](#liscenseandcitation) ## Getting started 🔥 #### How to Get Started with Our AgiBot World Data Download data from our [HuggingFace](https://huggingface.co/datasets/agibot-world/AgiBotWorld-Alpha) page. ``` your settings: https://huggingface.co/settings/tokens git clone https://huggingface.co/datasets/agibot-world/AgiBotWorld-Alpha ``` Convert the data to **LeRobot Dataset** format following the detailed instructions [here](https://huggingface.co/datasets/agibot-world/AgiBotWorld-Alpha#dataset-preprocessing). #### Policy Training Quickstart Leveraging the simplicity of [LeRobot Dataset](https://github.com/huggingface/lerobot), we provide a user-friendly [Jupyter Notebook](https://github.com/OpenDriveLab/AgiBot-World/blob/main/AgibotWorld.ipynb) for training diffusion policy on AgiBot World Dataset. ## TODO List 📅 - [x] **AgiBot World Alpha** - [ ] **AgiBot World Beta** (expected Q1 2025) - [ ] ~1,000,000 trajectories of high-quality robot data - [ ] ACT、DP3、OpenVLA and some other baseline models - [ ] **AgiBot World Colosseum** (expected 2025) - [ ] A comprehensive platform with toolkits including teleoperation, training and inference. - [ ] **2025 AgiBot World Challenge** (expected 2025) ## 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{contributors2024agibotworldrepo, title={AgiBot World Colosseum}, author={AgiBot World Colosseum contributors}, howpublished={\url{https://github.com/OpenDriveLab/AgiBot-World}}, year={2024} } ```