Robohub.org
 

ROBOTT-NET pilot project: Cobots for safe and cheap assembly of frequency converters


by
07 December 2019



share this:

At Danfoss in Gråsten, the Danish Technological Institute (DTI) is testing, as part of a pilot project in the European robot network ROBOTT-NET, several robot technologies: Manipulation using force sensors, simpler separation of items and a 3D-printed three-in-one gripper for handling capacitors, nuts and a socket handle.

“The set-updemonstrates various techniques that provide a cheaper solution, increased robustness and increased safety for operators”, says Søren Peter Johansen Technology Manager at DTI.

“For example, there is a force-torque sensor in the robot which is used to manoeuvre things carefully into place, and also to increase the confidence of the operators. The force-torque sensor will sense and prevent collisions with people before the built-in safety features of the robot stop the robot arm. Thus, we can also increase safety and confidence by working with collaborative robots”, he says.

Increased effectiveness
Danfoss in Gråsten has tested the robot in connection with the company’s production of frequency converters.

“A frequency converter contains, amongst other things, capacitors assembled in groups of two or four. We have automated this process in that a robot picks up a capacitor and puts it into a fixture. For the capacitor to be correctly placed in the fixture, the electrodes must point in the right direction. Therefore, a camera sees how the electrodes are oriented in the gripper, and orients correctly before it is placed in the fixture”, explains Søren Peter Johansen.

“Then we pick a nut that has to be put on and the robot picks up the socket handle and screws the nut tight. And meanwhile the operator can do something else and thus increases efficiency”, he elaborates.

Three reasons to automate
Peter Lund Andersen, Senior Manufacturing Specialist at Danfoss, says that Danfoss is automating for several reasons:

“It is primarily about work and environmental considerations – better ergonomics and less heavy lifting. We believe that with robots, that can do the work uniformly each time, we can increase the quality of our products while maintaining safety and reducing costs”, he says, adding “The cooperation with DTI gives us the opportunity to come out and try some new things. Some things that aren’t quite mature yet and can’t just be taken off a shelf. That way we are at the forefront with everything.”

If you want to watch more videos, you can explore ROBOTT-NET’s pilot projects on our YouTube-channel.



tags: , , , , , , , , ,


Thilo Zimmermann





Related posts :



Robot Talk Episode 136 – Making driverless vehicles smarter, with Shimon Whiteson

  05 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Shimon Whiteson from Waymo about machine learning for autonomous vehicles.

Why companies don’t share AV crash data – and how they could

  01 Dec 2025
Researchers have created a roadmap outlining the barriers and opportunities to encourage AV companies to share the data to make AVs safer.

Robot Talk Episode 135 – Robot anatomy and design, with Chapa Sirithunge

  28 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chapa Sirithunge from University of Cambridge about what robots can teach us about human anatomy, and vice versa.

Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

Human-robot interaction design retreat

  25 Nov 2025
Find out more about an event exploring design for human-robot interaction.

Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer

  21 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence