# SLoSa: A Small, Low-Power, Safety-Aware Foundation Model Framework for Robotic Task Planning

- Source: arXiv cs.RO
- Published: 2026-10-22T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/cuhhmeyoz5gnjw6hn5vay9ubm
- Original: https://arxiv.org/abs/2610.28955

## Summary

SLoSa is a neuro-symbolic compression and fine-tuning framework that builds a safety-aware dataset using classical planners, a teacher large language model, and formal verifiers, then applies supervised fine-tuning and reinforcement learning fine-tuning guided by a verification-based reward machine to train small, low-power, safety-aware robotic task planning models.