{
  "id": 15714,
  "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1870024",
  "title": "Predictive vision-language monitoring for proactive safety in robot task execution",
  "summary": "Robots that execute language-conditioned tasks in dynamic environments often rely on feedback only after an action has failed, which can be insufficient when failures involve collisions or workspace conflicts. This paper presents a predictive monitoring framework that uses Vision-Language Models (VLMs) to assess near-future execution risk during robot task execution. The framework first generates structured plans with action execution conditions and a plan-level fallback action. During execution",
  "authors": "Juan Diego Peña-Narvaez",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-03T00:00:00.000Z",
  "fetched_at": "2026-08-03T05:10:47.622Z",
  "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/15714",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1870024",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}