1 citations · 2 across the 11 of their papers we have counts for
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CoViLLM: An Adaptive Human-Robot Collaborative Assembly Framework Using Large Language Models
Jiabao Zhao, Jonghan Lim, Hongliang Li +1
With increasing demand for mass customization, traditional manufacturing robots that rely on rule-based operations lack the flexibility to accommodate customized or new product var…
A Model Predictive Control Framework to Enhance Safety and Quality in Mobile Additive Manufacturing Systems
Yifei Li, Joshua A. Robbins, Guha Manogharan +2
In recent years, the demand for customized, on-demand production has grown in the manufacturing sector. Additive Manufacturing (AM) has emerged as a promising technology to enhance…
Dynamic Task Adaptation for Multi-Robot Manufacturing Systems with Large Language Models
Jonghan Lim, Ilya Kovalenko
Recent manufacturing systems are increasingly adopting multi-robot collaboration to handle complex and dynamic environments. While multi-agent architectures support decentralized c…
Enhancing Human-Robot Collaborative Assembly in Manufacturing Systems Using Large Language Models
Jonghan Lim, Sujani Patel, Alex Evans +3
The development of human-robot collaboration has the ability to improve manufacturing system performance by leveraging the unique strengths of both humans and robots. On the shop f…
A Mobile Additive Manufacturing Robot Framework for Smart Manufacturing Systems
Yifei Li, Jeongwon Park, Guha Manogharan +2
Recent technological innovations in the areas of additive manufacturing and collaborative robotics have paved the way toward realizing the concept of on-demand, personalized produc…