2023
DOI: 10.3390/buildings13071772
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Robot-Enabled Construction Assembly with Automated Sequence Planning Based on ChatGPT: RoboGPT

Abstract: Robot-based assembly in construction has emerged as a promising solution to address numerous challenges such as increasing costs, labor shortages, and the demand for safe and efficient construction processes. One of the main obstacles in realizing the full potential of these robotic systems is the need for effective and efficient sequence planning for construction tasks. Current approaches, including mathematical and heuristic techniques or machine learning methods, face limitations in their adaptability and s… Show more

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Cited by 25 publications
(2 citation statements)
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“…Additionally, consideration of information about assembly tools is essential to ensure the feasibility of the planned sequence in practice. Furthermore, coverage of information regarding various assembly operations is also necessary to ensure the rationality and smoothness of the entire assembly process [42][43][44].…”
Section: Mathematical Model Of Assembly Sequencementioning
confidence: 99%
“…Additionally, consideration of information about assembly tools is essential to ensure the feasibility of the planned sequence in practice. Furthermore, coverage of information regarding various assembly operations is also necessary to ensure the rationality and smoothness of the entire assembly process [42][43][44].…”
Section: Mathematical Model Of Assembly Sequencementioning
confidence: 99%
“…Current research in the construction sector is actively incorporating LLMs to tackle industry-specific challenges and improve operational efficiencies. In the realm of construction robotics, the RoboGPT system employs ChatGPT's advanced reasoning for construction task sequence planning, demonstrating the system's capacity to adapt to complex and changing operations (You, Ye, Zhou, Zhu, & Du, 2023). GPT language models, such as ChatGPT, are also being evaluated for automating tasks like construction scheduling, with preliminary feedback suggesting a promising direction, although further development is recognized as necessary (Prieto, Mengiste, & García De Soto, 2023).…”
Section: Current Research and Developments On Llms In Constructionmentioning
confidence: 99%