A construction robot evaluation framework
Abstract/Contents
- Abstract
- Robots are increasingly being deployed in unstructured environments like construction sites. However, innovators in construction do not have a consistent method to evaluate on-site robots for a given project, taking up to ten months to assess promising robots. This thesis proposes a Robot Evaluation Framework (REF) for innovators in construction that compares the robot with the traditional performance for a chosen project. The framework was developed through a literature review of comparison variables and evaluation methods in construction robotics and manufacturing and the practical insights from three case studies. The REF studies the feasibility between the robot and the Product, Organization, and Process variables on a project. Second, it measures the impact on the Safety, Quality, Schedule, and Cost to recommend robot adoption using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria decision-making method. To validate the usefulness of the REF and the consistency of recommendations it helps generate, and the effort required, I used the framework in ten more comparative cases carried out by two graduate students with a General Contractor and a robot manufacturer or start-up. The comparison cases utilized more than 80% of the suggested REF variables. The REF use for ten cases showed consistent recommendations when two different evaluators analyzed the same robot, with an average effort of 20 hours. Furthermore, the REF offered insights into the Safety, Quality, Schedule, and Cost impacts of 13 robots in eight countries. Finally, an off-site framing robot case study highlights the limitations of the REF in addressing factory and transportation logistics, long-term customer relationships, and business models of construction robots in prefabrication. This thesis makes two main contributions to the fields of construction robotics and project management: First, it introduces a consistent framework to compare on-site robotic and traditional construction methods. Second, this research shares a consistent analysis of the application of 13 robots compared to traditional construction methods.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Brosque Markenson, Cynthia |
|---|---|
| Degree supervisor | Fischer, Martin, 1960 July 11- |
| Thesis advisor | Fischer, Martin, 1960 July 11- |
| Thesis advisor | Fruchter, Renate |
| Thesis advisor | Khatib, Oussama |
| Degree committee member | Fruchter, Renate |
| Degree committee member | Khatib, Oussama |
| Associated with | Stanford University, Civil & Environmental Engineering Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Cynthia Brosque Markenson. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/gj772cx6353 |
Access conditions
- Copyright
- © 2022 by Cynthia Brosque Markenson
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