The purpose of the project is to test and evaluate semi- or fully automatic progression measurement, productivity measurement and creation of relationship documents (As-Built) in a house building project.
The construction industry has for a long time been exposed to criticism for low productivity development. Today, there is missing industry-wide systems for measurements and systemic application for measuring productivity in construction.
The technology development has now come so far that robots equipped with inspection hardware such as high-quality cameras and laser scanners can autonomously collect raw data precisely over time on construction sites.
We will investigate two alternative techniques for data collection in the project, states Professor Lars Stehn:
"A Smart helmet, basically a construction helmet equipped with a scanner and positioning device. We can call it a semi-automatic method. It is a relatively simple method and with a not too expensive equipment, but it requires a person to do the actual rounding," says Lars Stehn.
Boston Dynamic Spot robot as a carrier for a fully automatic method. The challenges are that the robot must be given routes for collecting information that reflects the current situation in the construction process, requirements for an appropriate level of detail in the BIM design, and technical coordination between different disciplines and layouts on the construction site.
Mathias Haage believes that by combining knowledge on robotics, from LTH and Cognibotics, with in-depth knowledge of construction, from LTU, in interdisciplinary research directly on the Peab’s construction site, we can collect rich valuable empirical data and develop theory about autonomous systems for measurement and follow-up on the construction site.
"The project gives Buster a purpose," says Mathias, and then the question is whether it is still a robot.