# Reasoning driving VLAs have a perception-action binding gap: they can perceive danger but do not brake

- Source: arXiv cs.RO
- Published: 2026-10-21T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/xxrekka5ofu8r15rspemk5u45
- Original: https://arxiv.org/abs/2610.28184

## Summary

The paper points out that reasoning-augmented vision-language-action (VLA) driving models can perceive and reason about safety-critical hazards, yet cannot translate that evidence into safe actions, which the authors call a perception-action binding gap. Using matched simulated counterfactuals and logged replay, the study finds that in-path hazards are indeed encoded in the visual representation, but longitudinal planning is dominated mainly by ego-speed history and responds only weakly to hazard distance and the model's own reasoning trace.