Comparison of dusty robotics and traditional layout methods

Abstract The use of robots in construction has been rising in recent years. However, limited knowledge is available to understand how robots perform compared to existing processes. Therefore, this research compares the performance of manual layout to Dusty Robotics’ layout robot, an autonomous robot that marks the location of structures to be built and fixtures to be installed on a construction site. Using a Robot Evaluation Framework, we evaluate safety, quality, cost, and schedule performance metrics on drywall, mechanical, plumbing, and electrical layout in an 8-floor medical office building in Los Angeles as a case study. Dusty significantly outperformed manual layout methods across these parameters, resulting in a 68% reduction in total labor hours, an 18% decrease in total days spent performing layout, and a 99% reduction of physically straining work. Accuracy was enhanced by 50%, and design conflicts were identified earlier during the robotic layout process compared to the traditional process. Rework was reduced from 6.42% to 0.25%, a 96% reduction. The research findings suggest avenues to maximize the benefits of robotic layout, such as introducing the robot earlier in the project lifecycle during pre-construction and deploying multiple robots simultaneously. Layout robots present a promising technology for construction contractors to deploy on jobsites to improve project outcomes.

Authors

Institutions

Publication Details

Journal
Construction Robotics
Published
2025-09-15
DOI
https://doi.org/10.1007/s41693-025-00163-z
Citations
1
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of dusty robotics and traditional layout methods

Cynthia Brosque, A.H. Kam, Martin Fischer, Yuuki Tanaka et al.
1 citations
Construction Robotics
Modular Robots and Swarm Intelligence
0.71
article

Comparison of dusty robotics and traditional layout methods

Cynthia Brosque, A.H. Kam, Martin Fischer, Yuuki Tanaka, Tessa Lau, Henning Roedel
article en
1 citations

Abstract

Abstract The use of robots in construction has been rising in recent years. However, limited knowledge is available to understand how robots perform compared to existing processes. Therefore, this research compares the performance of manual layout to Dusty Robotics’ layout robot, an autonomous robot that marks the location of structures to be built and fixtures to be installed on a construction site. Using a Robot Evaluation Framework, we evaluate safety, quality, cost, and schedule performance metrics on drywall, mechanical, plumbing, and electrical layout in an 8-floor medical office building in Los Angeles as a case study. Dusty significantly outperformed manual layout methods across these parameters, resulting in a 68% reduction in total labor hours, an 18% decrease in total days spent performing layout, and a 99% reduction of physically straining work. Accuracy was enhanced by 50%, and design conflicts were identified earlier during the robotic layout process compared to the traditional process. Rework was reduced from 6.42% to 0.25%, a 96% reduction. The research findings suggest avenues to maximize the benefits of robotic layout, such as introducing the robot earlier in the project lifecycle during pre-construction and deploying multiple robots simultaneously. Layout robots present a promising technology for construction contractors to deploy on jobsites to improve project outcomes.

Construction RoboticsVol. 9(2)
Electronic Arts (United States) (US), Robotics Research (United States) (US), Stanford University (US)
Openalex Percentile: Top 27%
Modular Robots and Swarm Intelligence
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.