.png){kind=icon}
.png){kind=icon}
Return
Human–robot collaborative visual inspection with Large Language Models
.png){kind=icon}
OA
AI
DOI：10.1016/j.rcim.2025.103154.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A system that enables natural language interaction for human–robot collaboration • Locally hosted LLM that generates task-specific robot code from speech • Hybrid architecture that combines high-level LLM planning with low-level ROS execution • Evaluation of the system using real-life industrial visual inspection use case world environments, across varying levels of complexity.
Keywords:
Human–robot collaboration
Natural language processing
Large Language Models
Local LLM
Generative AI
Prompt engineering
Auto path planning
Visual inspection
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
R
IF:
11.4
Papers:
3.3K
Citations:
1.3W
Organization
No organization information available