# A2-MEAS: An Embodied Multi-Agent Framework with Code as a Scaling Interface

- Source: arXiv cs.RO
- Published: 2026-11-09T05:00:00.000Z
- RoboHot: https://robohot.news/en/items/bwgriu7eyfx1s43o4fx7tq2lg
- Original: https://arxiv.org/abs/2611.09124

## Summary

The authors propose A2-MEAS, an embodied multi-agent framework that uses code as a scaling interface, combining corrective language, spatial evidence, execution history, and action proposals into correction codes; during training, MetaBrain provides supervision and runtime guidance.

## Why it matters

The framework uses code as a scaling interface, injects corrective language and execution history into the policy, and provides quantitative comparisons across benchmarks and real-robot tasks.