air-embodied-brain/Zetta-Embodiment

Zetta is an efficient closed-loop embodied harness for self-evolving physical intelligence. It evolves code-based runtime critics and recovery skills online while keeping the base policy frozen. Project Page: https://air-embodied-brain.github.io/zetta/

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Zetta is an efficient closed-loop embodied harness for self-evolving physical intelligence. It evolves code-based runtime critics and recovery skills online while keeping the base policy frozen, achieving state-of-the-art success on LIBERO-Pro (90.8%) and RoboCasa (93.6%) with an 11.1x inference speedup. More updates 🚀 Roadmap: we continue to expand model and environment coverage at an approximate cadence of one integration per week. Runtime presets live under rolloutruntime/config/presets/ and campaign preparation scripts under scripts/evolution/. Cosmos-Lite is available as an additional remote policy backend (cosmosliteremote.yaml). Python 3.11 through 3.12 is supported. The minimal test environment (no simulator/model required): Campaigns call LLM agents in two places, configured separately: planner (openai-codex). Set CODEXAPIKEY, plus CODEXBASEURL for an OpenAI-compatible gateway; runcampaign.py --model selects the model. To fail over across several routes, set ZETTAAPIPROVIDERS to a JSON list of routes (name, model, baseurl, and apikey or apikeyenv). RoboCasa and RoboTwin preparation scripts freeze its backend via --role1-planner…

air-embodied-brain/Zetta-Embodiment on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-29T01:29:43.196Z

Inside the original README — Document outline
  1. What's New
  2. How It Works
  3. Evolution Protocol
  4. Runtime Role Boundaries
  5. Supported Environments and Models
  6. Installation
  7. Minimal test environment
  8. LLM provider
  9. VLA runtime environment (LIBERO-Pro or RoboCasa)
  10. RoboTwin 2.0 environment
  11. Genie Sim / Isaac Sim environment
  12. ManiSkill environment

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What this repository does

Zetta is an efficient closed-loop embodied harness for self-evolving physical intelligence. It evolves code-based runtime critics and recovery skills online while keeping the base policy frozen. Project Page: https://air-embodied-brain.github.io/zetta/

Repository facts

Owner
air-embodied-brain
Primary language
Python
Stars
1,209
Forks
83
Open issues + pull requests
8
License
Not reported — inspect the license file
Archived
No
Default branch
main
Created
2026-08-18T03:05:09.000Z
Last push
2026-09-16T10:53:27.000Z

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