PFEA: a VLM-based high-level natural language planning and feedback embodied agent for human-centered AI
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
Record details
Published: 6 August 2026
Source: Frontiers in Robotics and AI
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 6 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning
HuggingFace Daily Papers · 5 August 2026
DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds
HuggingFace Daily Papers · 5 August 2026
StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding
HuggingFace Daily Papers · 5 August 2026
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning
HuggingFace Daily Papers · 5 August 2026
Failing Gracefully: Mitigating Impact of Inevitable Robot Failures
arXiv cs.HC · 5 August 2026
NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment
arXiv cs.AI · 5 August 2026
How to cite this record
ethics.ai (6 August 2026), “PFEA: a VLM-based high-level natural language planning and feedback embodied agent for human-centered AI,” evidence record 16715, https://ethics.ai/record/16715 (originally published by Frontiers in Robotics and AI).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.