Robohub.org
 

New additive manufacturing method builds up objects with real 3D curves instead of 2D layers


by
21 May 2013



share this:


color4Mataerial
is a new 3D printing method that uses extrusion technology and a two-component thermosetting polymer to build up objects on any working surface that the polymer can adhere to, including floors, walls and ceilings, without the need for additional support structures.  While other 3D printing methods build up objects by successive 2D layering, this process truly builds up objects in all three dimensions: a script takes 3D models designed by the user in CAD software, converts them into 3D curves and then these 3D curves are converted into paths that are fed to the robotic arm. By combining these 3D curves, a variety of shapes can be achieved that would be impossible with other 3D printing methods.

wall3
Surfaces with any inclination can be used because the Mataerial printing process is not affected by gravity.

Mataerial is a research collaboration between Petr Novikov and Sasa Jokic from the Institute for Advanced Architecture of Catalonia (IAAC) and Joris Laarman Studio. The team spent months developing and testing to arrive at a working prototype, which was released just this past weekend. According the Novikov, there are no immediate plans to produce and sell Mataerial, but this may happen in the near future.

Check out their demo:

 



tags: ,


Hallie Siegel robotics editor-at-large
Hallie Siegel robotics editor-at-large

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence