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

Long-horizon Planning

Multi-robot Collaboration

News📰

• [2025/01/03] Agibot World Alpha Sample Dataset released.
• [2024/12/30] 🤖 Agibot World Alpha released.

Table of Contents

1. Key Features
2. Getting Started
   • Installation
   • How to Get Started with Our AgiBot World Data
   • Policy Learning Quickstart
3. TODO List
4. License and Citation

Getting started 🔥

Installation

Download our source code:

git clone https://github.com/OpenDriveLab/AgiBot-World.git
cd AgiBot-World

Our project is built upon the lerobot library (dataset v2.0), please follow their installation instructions.

How to Get Started with Our AgiBot World Data

Download data from our HuggingFace page.

git clone https://huggingface.co/datasets/agibot-world/AgiBotWorld-Alpha

The sample dataset is also available for quick preview now. Convert the data to LeRobot Dataset format.

python scripts/convert_to_lerobot.py --src_path /path/to/agibotworld/alpha --task_id 352 --tgt_path /path/to/save/lerobot

Policy Training Quickstart

Leveraging the simplicity of LeRobot Dataset, we provide a user-friendly Jupyter Notebook for training diffusion policy on AgiBot World Dataset.

TODO List 📅

• 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. Please consider citing our project if it helps your research.

@misc{contributors2024agibotworldrepo,
  title={AgiBot World Colosseum},
  author={AgiBot World Colosseum contributors},
  howpublished={\url{https://github.com/OpenDriveLab/AgiBot-World}},
  year={2024}
}