Exploring Classification Features of On-Site Construction Robots

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Robotics is emerging as both a critical need and an opportunity in the construction industry. In recent decades, researchers have been working to make robots more involved in construction production, with recent emphasis on moving from use in prefabrication to field construction. As robotics and automation technology are rapidly evolving, more robots are being developed and implemented to contribute to construction. In addition to this, as the construction industry explores the need for automation, a variety of different construction activities are expected to be completed or improved through the implementation of robotics. However, when construction planners decide to implement robots in a project, selecting the proper robot based on the needs of the specific task becomes a new challenge. This study explores options for how to aggregate and classify features for construction robots and organize these features to help construction planners. To address this challenge, this study explored robot classification characteristics applied in various industries and organized these characteristics according to the implementation needs of robots in the construction industry. This study considered classification features in two domains, including industrial robots and construction-specific robots. Through literature review, this study collected the classification features, including application, locomotion, level of autonomy, use case, and basic task. Based on each classification feature, this study further collected and summarized the corresponding classification elements.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2024
Subtitle of host publicationArtificial Intelligence, Automation and Robotics, and Human-Centered Innovations - Selected papers from the ASCE International Conference on Computing in Civil Engineering 2024
EditorsBurcu Akinci, Mario Berges, Farrokh Jazizadeh, Carol C. Menassa, Justin Yeoh
PublisherAmerican Society of Civil Engineers (ASCE)
Pages743-752
Number of pages10
ISBN (Electronic)9780784486115
DOIs
StatePublished - 2024
Event2024 ASCE International Conference on Computing in Civil Engineering, i3CE 2024 - Pittsburgh, United States
Duration: Jul 28 2024Jul 31 2024

Publication series

NameComputing in Civil Engineering 2024: Artificial Intelligence, Automation and Robotics, and Human-Centered Innovations - Selected papers from the ASCE International Conference on Computing in Civil Engineering 2024

Conference

Conference2024 ASCE International Conference on Computing in Civil Engineering, i3CE 2024
Country/TerritoryUnited States
CityPittsburgh
Period7/28/247/31/24

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Civil and Structural Engineering

Fingerprint

Dive into the research topics of 'Exploring Classification Features of On-Site Construction Robots'. Together they form a unique fingerprint.

Cite this