{
  "id": 9463036,
  "title": "InfiNoVA: Infinite Novel View Augmentation for Viewpoint Invariant Robot Policies",
  "url": "https://urgent.news/2026/09/23/infinova-infinite-novel-view-augmentation-for-viewpoint-invariant",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-23T11:47:58.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.27734v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Vision-Language-Action (VLA) policies often rely strongly on the camera viewpoints seen during training, causing substantial performance degradation when deployed from unseen perspectives. Collecting demonstrations from sufficiently diverse physical viewpoints is expensive and still provides only sparse coverage of the viewpoint space. We introduce InfiNoVA, a data-augmentation framework that…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}