Robohub.org
 

ROBOTT-NET use case: Danfoss automated assembly line


by
24 April 2018



share this:

Short delivery time, high flexibility and reduced costs for handling parts before assembly. These are the main goals that Danfoss Drives wanted to achieve by creating an automated assembly line. But while the goals were clear, the way to achieve them was cloudier.

“How to do it and with what technology, we haven’t decided yet. And that’s what we’re seeking help for”, says Technology Engineer Peter Lund Andersen from Danfoss Drives.

To find out which technologies and solutions are suitable for an automated assembly line Danfoss Drive received assistance from Danish Technological Institute’s Center for Robot Technology.

Danfoss Drives is namely one of the Danish companies that has received a so-called “voucher” through ROBOTT-NET, which offers a network of the leading European technological service institutes in robotics.

With the voucher, Danfoss Drive has an easy access to high technological solutions and robot experts outside of Denmark.

The challenge for Danfoss Drives has been that all their products are delivered in many different forms of packaging. They now want to pick the products automatically.

“Having more technological service institutes involved in the project means that we can draw on the core competence within each service institute and thereby combine each competence into one joint, great solution”, says Peter Lund Andersen. Adding that, “we have given quite a few of our tasks to English MTC, that specializes in mechanical construction. In Odense at the Danish Technological Institute they are experts in vision technology, so they take care of that part”.

You can check out Danfoss Drives’ voucher page here and watch the video of the use case below.

The main purpose of ROBOTT-NET is to gather and share the latest knowledge about robot technology that can improve production in European companies.

Note: ROBOTT-NET will be at HANNOVER MESSE from April 24-27, 2018. If you are there, make sure you pass by Stand G46 in Hall 6 by the European Commission and see project results from EU-funded projects like nextgenio, ultraSURFACE, covr, fed4sae, DiFiCIL, IPP4CPPS, Smart Anything Everywhere (SAE), RADICLE, cloudSME, BEinCPPS, CloudiFacturing & Fortissimo.




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