{
  "id": 14636,
  "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1883320",
  "title": "Object-grounded embodied picking for e-commerce warehouse fulfillment: a foveated diffusion policy for operational robustness",
  "summary": "Embodied picking for e-commerce fulfillment remains vulnerable to dense clutter, reflective packaging, and background variation, which can undermine the effectiveness and robustness of visuomotor policies learned from demonstrations. A key limitation is the absence of explicit object grounding, causing policies to exploit spurious contextual cues rather than task-relevant visual evidence. To address this issue, we propose the Foveated Diffusion Policy (FDP), which integrates object-centric visua",
  "authors": "Chaoqun Li",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-30T00:00:00.000Z",
  "fetched_at": "2026-07-30T05:10:24.387Z",
  "source_slug": "x-frontiers-in-robotics-and-ai",
  "source_name": "Frontiers in Robotics and AI",
  "source_homepage": "https://www.frontiersin.org/journals/robotics-and-ai",
  "ethics_ai_record_url": "https://ethics.ai/record/14636",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1883320",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}