Single Model Controls Multiple Robots: An Analysis of the CHORUS VLA
DJiafei · x · 2026-07-29
Traditional multi-robot collaboration typically relies on complex centralized control, which scales poorly with team size. To address this, researchers introduced CHORUS.
By training a single Vision-Language-Action (VLA) model, CHORUS can control multiple diverse robots using only local observations and identifying information. This allows robots to collaborate on complex manipulation tasks such as using a tape measure, handing over a book, or lifting a laundry basket.
Related event: CHORUS: Decentralized Multi-Robot Collaboration via Single VLA Model(6 posts)→
More from Embodied
- Agentic AI Summit sets robotics and world models session with Sergey Levine and Jim Fan — dawnsongtweets · 2026-07-29
- Eyecandy Robotics pitches robots as characters, not just machines — paulfinneyx · 2026-07-29
- DigiKey panel discusses deploying edge AI models on embedded systems — ShawnHymel · 2026-07-29
- DGX Spark arrives as a local AI workstation for LimestoneHQ experiments — alex_verem · 2026-07-29
- Embodied AI Startup Dream Machines Announces Angel Round Funding — DominiqueCAPaul · 2026-07-29
- US Airlines Ban Humanoid Robots from Flights Citing Battery and Safety Risks — carlosdponx · 2026-07-29