Galaxea Open-World Dataset — Mobile Manipulation
Galaxea Open-World Dataset is a large-scale real-world mobile manipulation dataset containing 500+ hours of dual-arm robot data collected across residential, kitchen, retail, and office environments with fine-grained language annotations. Released in April 2026 under CC BY-NC-SA 4.0, the dataset is collected using the Galaxea R1 — a wheeled dual-arm mobile robot — performing whole-body manipulation tasks that require coordinating base movement with arm actions. The open-world collection methodology across four environment types (residential, kitchen, retail, office) provides the broadest environmental coverage of any Chinese-origin mobile manipulation dataset. Language annotations describe task goals, object properties, and action sequences at fine-grained resolution.
| Year | 2026 |
|---|---|
| Total hours | 500 |
| Embodiments | Galaxea R1 dual-arm mobile robot |
| Modalities | rgb, depth, proprioception, language |
| Task categories | manipulation, pick-and-place, cleaning, cooking, long-horizon, human-robot-interaction |
| Data format | mp4, parquet, json |
| License | CC BY-NC-SA 4.0 |
| Access | open |
| Maintainer | Galaxea Robotics |
| Origin country | CN |
What is it?
Galaxea Open-World Dataset is a large-scale real-world mobile manipulation dataset containing 500+ hours of dual-arm robot data collected across residential, kitchen, retail, and office environments with fine-grained language annotations. Released in April 2026 under CC BY-NC-SA 4.0, it is collected using the Galaxea R1 — a wheeled dual-arm mobile robot — performing whole-body manipulation tasks requiring coordinated base movement with arm actions. The open-world methodology across four environment types provides the broadest environmental coverage of any Chinese-origin mobile manipulation dataset.
Who is it for?
Researchers working on mobile manipulation — the challenge of combining navigation with dexterous object interaction. Most manipulation datasets use stationary arm platforms; Galaxea Open-World provides one of the few large-scale datasets where the robot must move through the environment while manipulating objects. Language annotations make it suitable for language-conditioned policy training.
Key specifications
- Duration: 500+ hours
- Robot platform: Galaxea R1 (wheeled dual-arm mobile)
- Environments: Residential, kitchen, retail, office
- Modalities: RGB, depth, proprioception, language
- Format: MP4, Parquet, JSON
- License: CC BY-NC-SA 4.0 — non-commercial research only
How it compares
Galaxea Open-World is the largest mobile manipulation dataset from a Chinese manufacturer. The Galaxea R1 platform is comparable to the Hello Robot Stretch (US) but with dual arms. AgiBot-Alpha covers more hours (1,979h) but uses a different robot platform without mobile base navigation. The four-environment diversity distinguishes it from single-setting mobile manipulation datasets.
Limitations and access notes
CC BY-NC-SA 4.0 prohibits commercial use and requires share-alike on derivatives. Chinese origin — geopolitical flag applies.
Linked professions
Frequently asked questions
What is the Galaxea R1 robot?
The Galaxea R1 is a wheeled dual-arm mobile robot developed by Galaxea Robotics. It combines a mobile wheeled base with two manipulation arms, enabling whole-body coordination between navigation and object manipulation — a key capability for service robots that must operate across entire rooms rather than at fixed workstations.
Can Galaxea Open-World be used commercially?
No. CC BY-NC-SA 4.0 restricts to non-commercial research and requires derivative datasets to share under the same license.
What environments does Galaxea Open-World cover?
Galaxea Open-World covers residential homes, kitchens, retail stores, and office spaces — four distinct environment categories requiring different navigation and manipulation strategies. This multi-environment approach is designed to force policies to generalise beyond a single familiar setting.
How do I access Galaxea Open-World?
Available on Hugging Face at huggingface.co/datasets/Galaxea/Galaxea-Open-World. No registration required.
What makes mobile manipulation harder than stationary arm manipulation?
Mobile manipulation requires coordinating base movement with arm manipulation simultaneously — the robot must navigate to the right position, maintain balance during arm motion, and handle the kinematic coupling between base and arm. Most manipulation policies assume a fixed base; mobile manipulation requires whole-body control that stationary datasets cannot train.