# Interruption-aware recurrent reinforcement learning improves UAS navigation safety for temporary overrides

- Source: arXiv cs.RO
- Published: 2026-10-21T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/ybgm0ys6x0txc1nn1ze3llze9
- Original: https://arxiv.org/abs/2610.28121

## Summary

To address the increased collision risk when unmanned aircraft systems (UAS) resume autonomous navigation after temporary takeover by teleoperation or safety mechanisms, the study proposes three interruption-aware recurrent reinforcement learning architectures that incorporate interruption context into recurrent processing through independent feature streams, dedicated interruption memory, or gated environmental features.