3 citations · 7 across the 3 of their papers we have counts for
4 papers
LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG
Laifa Tao, Qixuan Huang, Xianjun Wu +5
The increasing use of smart devices has emphasized the critical role of maintenance in production activities. Interactive Electronic Technical Manuals (IETMs) are vital tools that…
BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
Jianan Wang, Bin Li, Jingtao Qi +3
Traditional robot simulators focus on physical process modeling and realistic rendering, often suffering from high computational costs, inefficiencies, and limited adaptability. To…
An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges
Laifa Tao, Shangyu Li, Haifei Liu +18
Prognosis and Health Management (PHM), critical for ensuring task completion by complex systems and preventing unexpected failures, is widely adopted in aerospace, manufacturing, m…
A Study on Training and Developing Large Language Models for Behavior Tree Generation
Fu Li, Xueying Wang, Bin Li +3
This paper presents an innovative exploration of the application potential of large language models (LLM) in addressing the challenging task of automatically generating behavior tr…