Brief

Researchers at Purdue University are testing a robotic system with an end effector that lets construction materials be placed and fastened in the same operation with the same arm. The system relies on computer vision algorithms to detect building elements and match them to building information modeling data.

 

Insight

WEST LAFAYETTE, Ind. – Emerging robotics technology may soon help construction companies and contractors create buildings in less time at higher quality and at lower costs.

Purdue University innovators developed and are testing a novel construction robotic system that uses an innovative mechanical design with advances in computer vision sensing technology to work in a construction setting.

“Our work helps to address workforce shortages in the construction industry by automating key construction operations,” said Jiansong Zhang, an assistant professor of construction management technology in the Purdue Polytechnic Institute. “On a construction site, there are many unknown factors that a construction robot must be able to account for effectively. This requires much more advanced sensing and reasoning technologies than those commonly used in a manufacturing environment.”

The Purdue team’s custom end effector design allows for material to be both placed and fastened in the same operation using the same arm, limiting the amount of equipment that is required to complete a given task.

Computer vision algorithms developed for the project allow the robotic system to sense building elements and match them to building information modeling (BIM) data in a variety of environments, and keep track of obstacles or safety hazards in the system’s operational context.

“By basing the sensing for our robotic arm around computer vision technology, rather than more limited-scope and expensive sensing systems, we have the capability to complete many sensing tasks with a single affordable sensor,” Zhang said. “This allows us to implement a more robust and versatile system at a lower cost.”

 

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