London-based Ai Build has taken a cue or two from construction 3D printing to build a pavilion with the help of a large scale 3D printing robot and advanced learning algorithms.
The 3D printed Daedalus Pavilion tags along with Ai Build’s goal of making smart homes affordable and possible.
Consisting of 48 separate pieces, the pavilion – which was unveiled as part of the GPU Technology Conference in Amsterdam – is large enough to house several coffee tables. It was built using more than 160 kg of biodegradable filament from Formfutur, and was 3D printed in just three weeks using a custom KUKA industrial robot 3D printing setup.
Ai Build is all about next-gen construction, in which AI and robotics become indispensable. The company’s intention is to transcend 3D printing, as it seeks to create a home-hub prototype that provides smart, intuitive and natural home control. This teachable platform could be operated using voice or app control, and will learn from its inhabitants through a series of cameras and other sensors that make gesture and voice commands possible.
Facilitating such a future not only requires revolutionary algorithms, but a very cost-effective approach as well. And that’s where 3D printing comes in, as a combination of 3D printing and injection molding using biodegradable plastics could provide a very cost-effective manufacturing platform.
Ai Build envisions a future in which on-demand 3D printing services can provide architects and designers with an unprecedented range of construction opportunities. The London-based startup has therefore been working hard to develop a custom and efficient large scale 3D printing platform using industrial robots and machine learning software. Especially the inclusion of the latter should enable them to overcome today’s biggest 3D printing limitation: production times.
Right now, the company is looking at a very cost-effective and appealing 3D printing prototype. With a 3.2m x 2.4m x 2.8m build space, this robotic arm can 3D print very large modular structures with high resolution finishing opportunities, while a wide variety of PLA and ABS based materials are already on their radar.
The Daedalus Pavilion was build using NVIDIA GPUs to run a combination of computer vision and deep learning algorithms which greatly improved the 3D printing speed and accuracy.
Image credits: Ai Build