Skip to Main Content
Frequently Asked Questions
Submit an ETD
Global Search Box
Need Help?
Keyword Search
Participating Institutions
Advanced Search
School Logo
Files
File List
Full text release has been delayed at the author's request until November 01, 2025
ETD Abstract Container
Abstract Header
Automated 3D Modeling For Buildings Using Robots
Author Info
THOMAS JOHN, JOEL
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=kent1745590940838856
Abstract Details
Year and Degree
2025, MSA, Kent State University, College of Architecture and Environmental Design.
Abstract
Robotics and deep learning have made significant advancements influencing the practice of architecture, engineering and construction. Automation in construction related activities can help improve work efficiency, release the pressure of labor shortage, and retain a talented workforce in the construction industry. This thesis explores the automated floor mapping and 3D modeling of a given environment, efficiently using spatial data collected by a robot mounted with a LiDAR sensor. This approach proposes a workflow to introduce a novel method for rapidly scanning a space and efficiently converting the data into a 3D model with accurate dimensions. It provides a clear understanding of the spatial environment. In addition to being applied for accurate design and efficient decision making in construction, the developed technology has potential to be deployed for search and rescue during disaster relief, post-disaster damage assessment, facility management and maintenance. It can enhance infrastructure development and building construction by providing precise, up-to-date models for decision-making processes. By combining cutting-edge robotics technology with user-centric design principles such as functionality, efficiency, sustainability and aesthetics, this thesis proposes a better way to accurately measure and design space according to the user. The implementation of this developed technology not only offers immediate benefits in terms of improved spatial understanding but also lays the groundwork for future advancements in human-robot interaction in design and construction.
Committee
Rui Liu, Dr. (Advisor)
Jong-Hoon Kim, Dr. (Committee Member)
Bill Lucak (Committee Member)
Pages
104 p.
Subject Headings
Architecture
;
Area Planning and Development
Keywords
Robot, LiDAR sensors, Human robotics interaction.
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
THOMAS JOHN, J. (2025).
Automated 3D Modeling For Buildings Using Robots
[Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1745590940838856
APA Style (7th edition)
THOMAS JOHN, JOEL.
Automated 3D Modeling For Buildings Using Robots.
2025. Kent State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=kent1745590940838856.
MLA Style (8th edition)
THOMAS JOHN, JOEL. "Automated 3D Modeling For Buildings Using Robots." Master's thesis, Kent State University, 2025. http://rave.ohiolink.edu/etdc/view?acc_num=kent1745590940838856
Chicago Manual of Style (17th edition)
Abstract Footer
Document number:
kent1745590940838856
Copyright Info
© 2025, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.