{
  "id": 16715,
  "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1905578",
  "title": "PFEA: a VLM-based high-level natural language planning and feedback embodied agent for human-centered AI",
  "summary": "The rapid advancement of Large Language Models (LLMs) has led to significant progress in Artificial Intelligence (AI), ushering in a new era of human-centered AI (HAI). Intelligent agents powered by LLMs provide new opportunities for realizing HAI. However, existing LLM-based embodied agents often lack online planning capabilities and may generate actions involving objects that are not present in the current environment. In this paper, we propose a closed-loop framework for planning and evaluati",
  "authors": "Wenbin Ding",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-06T00:00:00.000Z",
  "fetched_at": "2026-08-06T05:10:11.148Z",
  "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/16715",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1905578",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}