# AgriVLN: A Vision-and-Language Navigation Benchmark and Method for Agricultural Robots

- Source: arXiv cs.RO
- Published: 2026-10-22T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/kpm0z5vscgxvuets77qtwgte8
- Original: https://arxiv.org/abs/2508.07406

## Summary

This work proposes A2A, a vision-and-language navigation benchmark for agricultural robots, comprising 1,560 episodes across 6 classes of agricultural scenes, using step-by-step instructions and a continuous-action environment. Evaluation found that existing VLN methods perform well on short instructions but poorly on long instructions; to address this, the authors propose an STL module that decomposes complex instructions into lists of simple subtasks and integrates it into the NavGPT backbone, raising SR from 0.33 to 0.47 while NE slightly increases from 2.76 m to 2.91 m. Ablation studies and case analyses are also included.