{
  "id": 18774,
  "url": "https://arxiv.org/abs/2608.12308v1",
  "title": "DreamFly: Causal Memory and Receding-Horizon Diffusion Planning for Aerial Vision-Language Navigation",
  "summary": "Aerial vision-language navigation (VLN) requires an embodied agent to integrate visual evidence over time, plan future actions, and determine when it has reached a navigation goal under partial observability. Although recent VLA models offer a promising perception-to-action paradigm, adapting them to aerial navigation remains challenging due to limited historical context, short planning horizons, and unreliable implicit termination. To address these challenges, we propose DreamFly, a diffusion-b",
  "authors": "Yan Deng, Fei Xu",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T17:54:33.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18774",
  "original_url": "https://arxiv.org/abs/2608.12308v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}