Mobile ALOHA
Low-cost bimanual teleoperation and imitation-learning system for mobile manipulation.
Source: Stanford University announcement · Updated 4 Jan 2024 · provider announcement
Capabilities
Capability ratings
Editorial assessment of what the system can do on each axis, 0-100. Capability is not adoption and not employment impact.
Summary
Demonstrated generalisable household-style manipulation tasks, a marker for physical-task automation progress.
Strongest axis for this model.
Average across all rated axes.
Impact
Occupations affected by Mobile ALOHA (3)
Occupations with published evidence mapped to this model. A model being able to do something is not evidence that firms use it.
Mobile ALOHA demonstrated bimanual mobile manipulation on everyday tasks using imitation learning on relatively low-cost hardware.
Mobile ALOHA demonstrated bimanual mobile manipulation on everyday tasks using imitation learning on relatively low-cost hardware.
Mobile ALOHA demonstrated bimanual mobile manipulation on everyday tasks using imitation learning on relatively low-cost hardware.
Provenance
Where this record came from
- Announcement
- https://mobile-aloha.github.io/
- GitHub repository
- MarkFzp/mobile-aloha
Release records cite the provider announcement. Open-weight releases also link to their public model and repository pages where available. Read /methodology for how capability ratings are produced.