H. Abaza, Alan L. Clark, Aaron Schwartz, Henry J. Durce, David A. Guerra-Zubiaga
{"title":"Industrializing Residential Construction Using Artificial Intelligent (AI) Robotics","authors":"H. Abaza, Alan L. Clark, Aaron Schwartz, Henry J. Durce, David A. Guerra-Zubiaga","doi":"10.1115/imece2022-96675","DOIUrl":null,"url":null,"abstract":"\n This research investigates using AI robotics in automating wooden residential construction. Residential building construction still depends on manual labor. Automation is used to construct certain buildings such as wood trusses, cabinets, doors, windows, and mechanical systems. However, there is a great need for automating the assembly of the building construction. This research builds a framework on how robotics can automate the construction of significant building components and assemble them in the field. In this approach, walls, roofs, and floors assemble in the area. Several attempts have been made to use robots for wood framing. However, these automation attempts focused only on the structural parts of the wooden construction. The scope of this research includes using multiple robots with conveying belts to incorporate the assembly of the main building components, including the wooden framing, exterior sheathing and siding, electric wiring and trim, plumbing pipes, thermal insulation, vapor barrier, waterproofing, trim, windows, and doors, and first coat painting. Building assemblies will be transported to the field and fit together. The system will integrate mass customization strategies which includes Product Family Architecture and Personalization Design. This approach will improve quality assurance, reduce labor costs, reduce construction time, and reduce material waste. As a proof of concept, the research simulates the use of a robot to assemble walls components. The results showed that using AI Robotics to automate wooden residential construction is possible and practical. The advancement in AI robots overcame the inconsistencies in building materials and achieved the goals of this project.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 2B: Advanced Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/imece2022-96675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research investigates using AI robotics in automating wooden residential construction. Residential building construction still depends on manual labor. Automation is used to construct certain buildings such as wood trusses, cabinets, doors, windows, and mechanical systems. However, there is a great need for automating the assembly of the building construction. This research builds a framework on how robotics can automate the construction of significant building components and assemble them in the field. In this approach, walls, roofs, and floors assemble in the area. Several attempts have been made to use robots for wood framing. However, these automation attempts focused only on the structural parts of the wooden construction. The scope of this research includes using multiple robots with conveying belts to incorporate the assembly of the main building components, including the wooden framing, exterior sheathing and siding, electric wiring and trim, plumbing pipes, thermal insulation, vapor barrier, waterproofing, trim, windows, and doors, and first coat painting. Building assemblies will be transported to the field and fit together. The system will integrate mass customization strategies which includes Product Family Architecture and Personalization Design. This approach will improve quality assurance, reduce labor costs, reduce construction time, and reduce material waste. As a proof of concept, the research simulates the use of a robot to assemble walls components. The results showed that using AI Robotics to automate wooden residential construction is possible and practical. The advancement in AI robots overcame the inconsistencies in building materials and achieved the goals of this project.