If you are a facade installation firm dealing with high labor risks and material waste — this project developed collaborative robotics and AI design that improves safety and reliability. This allows for faster, safer installation in residential and office typologies.
AI and Robotics for Sustainable Smart Building Facade Manufacturing and Installation
Imagine if building a skyscraper's glass skin was as precise and automated as assembling a car. This project uses smart robots and digital twins to handle everything from the first drawing to the final installation and eventual recycling. It's like giving the construction site a digital brain and robotic hands to stop waste and keep workers safer.
What needed solving
The construction sector suffers from high energy use, material waste, and safety risks during facade installation. Current processes lack digital integration between design, manufacturing, and disassembly.
What was built
A suite of digital tools including AI parametric design, extended digital twins, a digitalized manufacturing line, and collaborative robotic systems for installation.
Who needs this
Who can put this to work
If you are a curtain-wall manufacturer dealing with inefficient production lines — this project developed a digitalized manufacturing line in Hungary that reduces resource use. This ensures higher product quality and better alignment with Green Deal goals.
If you are a design studio dealing with disconnected data between drawing and building — this project developed AI parametric design and extended digital twins. This streamlines the entire value chain from design to disassembly.
Quick answers
What is the cost or price of the developed solutions?
Based on available project data, specific pricing or cost details for the resulting technologies are not provided.
Is the technology ready for industrial scale?
The project is designed for industrial validation through four pilots, including a digitalized manufacturing line and operational construction environments in the South and Center of Europe.
How is IP and licensing handled for the results?
Based on available project data, specific licensing terms are not mentioned, though the project involves a consortium of 17 partners and an FSTP scheme for external SMEs.
How will this integrate with existing construction workflows?
Integration is achieved through AI parametric design and digital twins that track data workflows across the entire facade value chain, including human-in-the-loop collaborative robotics.
What is the timeline for deployment?
The project runs from 2025-01-01 to 2028-12-31, suggesting that validated solutions will be available toward the end of 2028.
Who built it
The consortium is heavily industry-weighted (59%), featuring 10 industrial partners and 7 SMEs across 9 countries. This strong commercial presence, led by Tecnalia, suggests a focus on market viability rather than pure theory, supported by a diverse mix of AI, robotics, and construction specialists.
Contact Fundacion Tecnalia Research & Innovation in Spain
Talk to the team behind this work.
Contact us to connect with the AMALTEA consortium for pilot opportunities.