# SAS: A Semantic Autonomy Framework for VLM-Integrated Indoor Mobile Robots

- Source: arXiv cs.RO
- Published: 2026-10-27T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/te0bwxe7zfw78uyjsl2betnlx
- Original: https://arxiv.org/abs/2605.02525

## Summary

The paper proposes the Semantic Autonomy Stack (SAS), a six-layer integration framework that builds semantic reasoning, mission interface, and operational memory layers on a validated ROS 2/Nav2 foundation. It uses a deterministic-first cascade that escalates unresolved or guarded cases to a pretrained vision-language model (VLM).