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📰

• [2024/12/30] 🤖 Agibot World Alpha released.

Table of Contents

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

Getting started 🔥

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

Convert the data to LeRobot Dataset format following the detailed instructions here.

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}
}