Abstract
2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on robotics are presented i n a new report. According to news originating from Wuhan, People's Republic of C hina, by NewsRx correspondents, research stated, "Offline programming (OLP) is a mainstream approach for controlling assembly robots at construction sites." Funders for this research include National Key Research And Development Program of China; China Postdoctoral Science Foundation; National Natural Science Founda tion of China; Key Technologies Research And Development Program. The news editors obtained a quote from the research from Huazhong University of Science and Technology: "However, existing methods are tailored to specific asse mbly tasks and workflows, and thus lack flexibility. Additionally, the emerging large language model (LLM)-based OLP cannot effectively handle the code logic of robot programming. Thus, this paper addresses the question: How can robot contr ol programs be generated effectively and accurately for diverse construction ass embly tasks using LLM techniques? This paper describes a closed user-on-the-loop control framework for construction assembly robots based on LLM techniques. A h ierarchical strategy to generate robot control programs is proposed to logically integrate code generation at high and low levels. Additionally, customized appl ication programming interfaces and a chain of action are combined to enhance the LLM's understanding of assembly action logic. An assembly task set was designed to evaluate the feasibility and reliability of the proposed approach."
NETL
NSTL