Brain
AgiBot's universal embodied foundation model, Genie Operator-1 (GO-1), launched March 2025. Introduces the Vision-Language-Latent-Action (ViLLA) framework: a Vision-Language Model plus a Mixture-of-Experts (a Latent Planner trained on cross-embodiment and human-operation data, and an Action Expert trained on over a million real robot demonstrations). Supports learning from human video, few-shot generalization, cross-embodiment adaptation, and continuous self-evolution.
Foundation model · Maturity: Pilot · Closed · Powers 5 robots
Machine-readable surfaces
- Markdown mirror: /brains/agibot-go-1.md
- RSS feed: /brains/agibot-go-1/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/brains/e26cbf32-1225-4222-ad6e-cbf986ea65ad
- Revision history: /brains/agibot-go-1/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Key facts
- Model type
- Foundation model
- Maturity stage
- Pilot
- Open source
- No
- Architecture
- Vision-Language-Latent-Action (ViLLA) framework with Vision-Language Model and Mixture-of-Experts (Latent Planner and Action Expert)
- Training data
- Cross-embodiment and human-operation data plus over a million real robot demonstrations
- GO-1 ViLLA foundation model
- AgiBot describes GO-1 (Genie Operator-1) as a generalist embodied foundation model that evolves from VLA to a Vision-Language-Latent-Action (ViLLA) stack for scene understanding and dexterous manipulation (AgiBot GO-1).
- Chinese GO-1 product framing
- AgiBot's Chinese product materials present GO-1 as a general embodied base model for robot deployment workflows (AgiBot GO-1 detail).
- Vision-language-latent-action model
- AGIBOT describes Genie Operator-1 as an embodied model that unifies vision, language, and action through a vision-language-latent-action framework (AGIBOT GO-1).
- Open research release
- The OpenDriveLab AgiBot-World repository provides public code and datasets associated with AGIBOT's embodied-robotics research, including GO-1 workflows (AgiBot-World repository).
Developed by (1)
Powers (5)
- AgiBot Yuanzheng A2AgiBot · humanoid
- AgiBot Lingxi X2AgiBot · humanoid
- AgiBot G2AgiBot · humanoid
- AgiBot A2AgiBot · humanoid
- AgiBot A2-WAgiBot · humanoid
Where Genie Operator-1 (GO-1) runs
View the global mapDeployments of robots powered by Genie Operator-1 (GO-1), by place and type.
Common questions
What is Genie Operator-1 (GO-1)?
Which robots run on Genie Operator-1 (GO-1)?
Who developed Genie Operator-1 (GO-1)?
Is Genie Operator-1 (GO-1) open source?
What type of AI is Genie Operator-1 (GO-1)?
What is Genie Operator-1 (GO-1)'s maturity stage?
Sources (6)
- https://www.globenewswire.com/news-release/2025/03/11/3040608/0/en/AgiBot-GO-1-The-Evolution-of-Generalist-Embodied-Foundation-Model-from-VLA-to-ViLLA.html
- https://www.barchart.com/story/news/31336659/agibot-unveils-universal-embodied-foundation-model-genie-operator-1-go-1
- https://www.globenewswire.com/news-release/2025/03/10/3040128/0/en/AgiBot-GO-1-The-Evolution-of-Generalist-Embodied-Foundation-Model-from-VLA-to-ViLLA.html
- https://www.agibot.com.cn/article/189/detail/56.html
- https://www.agibot.com/article/231/detail/56.html
- https://github.com/OpenDriveLab/AgiBot-World
Methodology: Verified · 6 sources (1 primary) · last reviewed 2026-10-10
Verification posture
Verified
High confidence
Review state
Stable
Last reviewed 2026-10-10
Maturity + lifecycle
Maturity stage: pilot
Sources by quality tier
- 4
- unclassified
- Unclassified source
- 1
- primary-company-ir
- Company IR disclosure
- 1
- code-repository
- Code repository
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Genie Operator-1 (GO-1).Canonical ID e26cbf32-1225-4222-ad6e-cbf986ea65ad