Robohub.org
 

European robot network helps nurses and home builders


by
10 September 2018



share this:

Four knowledge institutes across Europe – the Danish Technological Institute (DTI, DK), Fraunhofer IPA (DE), Tecnalia (ES) and the Manufacturing Technology Centre (MTC, UK) – teamed up to offer highly qualified consulting services at no cost to companies that either wanted to use robot technology in their production or wanted to develop new robot technology to sell.

It’s been two years since the European project ROBOTT-NET kicked off and more than 60 projects have been executed with success and 1500 people have come to visit ROBOTT-NETs Open Labs. ROBOTT-NET has among other things helped nurses in F&P Robotics’ voucher. The project “Robot Assistant for Nurses” (RAN) aimed to automate frequent and labor intensive tasks of material preparation before the taking of blood samples.

ROBOTT-NET also helped make home builders’ lives easier with Robot at Works voucher project. The goal of the project was to use digital data in building projects to automate production directly on the building site.

The robot network has also worked with the Swastebot – a specialised waste sorting robot. The company Sadako developed a disruptive system for the recovery of valuable materials such as cans, bottles, bricks etc. in waste treatment plants. The system is based on artificial intelligence for material detection.

In total ROBOTT-NET has worked with 62 projects with companies such as Danfoss, Kärcher, Air Liquide and Nissan.

Now, eight projects have been selected for a Pilot to strengthen robotics development and the competitiveness of European Manufacturing even further. The projects will be teamed up with a real-world use cases and ROBOTT-NET will take the projects all the way to the market – to make even more robotics ideas in industrial and professional service robotics a reality.

You can check out what ROBOTT-NET has achieved so far in this video:

If you want to stay updated on ROBOTT-NET and the events in the projects, you can follow ROBOTT-NET on Twitter and LinkedIn.



tags: , , ,


Thilo Zimmermann


Subscribe to Robohub newsletter on substack



Related posts :

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.

Resource-sharing boosts robotic resilience

  31 Mar 2026
When a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems.

Robot Talk Episode 150 – House building robots, with Vikas Enti

  27 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Vikas Enti from Reframe Systems about using robotics and automation to build climate-resilient, high-performance homes.

A history of RoboCup with Manuela Veloso

and   24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Robot Talk Episode 149 – Robot safety and security, with Krystal Mattich

  20 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Krystal Mattich from Brain Corp about trustworthy autonomous robots in public spaces.

A multi-armed robot for assisting with agricultural tasks

  18 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence