Kategorie: ‘Lokalisierung’

(Deutsch) Participation at European Robotics Forum (ERF) Hackathon 2022

July 19th, 2022 | by

Sorry, this entry is only available in German.

(Deutsch) Integrierte AI-Aufgabenplanung und Schraubenerkennung in einem Fertigungsszenario

May 25th, 2022 | by

Sorry, this entry is only available in German.

Development of new wrists for the Paragrip

April 8th, 2022 | by

In a joint research project of the IGMR together with the ISF of the RWTH Aachen University, the Multidirectional Additive Manufacturing (MDAM) of metallic components is being researched. In order to optimize the multi-armed. Paragrip robot for this application, student Raphael Hoffmann has developed an innovative concept of a new robotic wrist in his bachelor thesis. The concept enables the welding current to be conducted directly through the wristsm without the need for an additional ground cable attached to the print bed. Moreover, the wrists enable form fitting gripping of the print bed with self-centering to minimize positioning inaccuracies.

You can find the video on our YouTube channel:

Jan Wiartalla

Driverless transport systems

September 11th, 2020 | by

Fahrerlose Transportsysteme

Image source: TRAPO AG

Autonomous transportations systems are being integrated into modern plants and warehouses. Trapo AG has developed with the support of IGMR of RWTH Aachen University a leading product in the industry, the Trapo Transport Shuttle (TTS). The IGMR staff was involved in the development and integration of the localization and navigation algorithms, in the creation of the state machines that determine the behavior of the TTS, and in the intensive testing phases. All methods and algorithms were integrated and configured in the ROS middleware. The whole system has already been successfully put into operation at the customer.


Contact person:
Stefan Bezrucav
Markus Schmitz



SLAM validation using iGPS

July 3rd, 2020 | by

For the validation of localization and mapping algorithms (SLAM) for mobile robots, we use at IGMR the indoor Global Positioning System from Nikon.
SLAM is a classical problem in mobile robotics and still a current and challenging research topic. The current developments are focused in improving SLAM algorithms with respect to a high accuracy, generality, and robustness. For this reason, we validate our SLAM algorithms for mobile robotics with the Nikon iGPS which is used to generate a ground truth with a frequency of 40 Hz and an accuracy of 0.2 mm. In this way, critical inaccuracies and loop closure methods can be much better quantified and analyzed.

Project page:

Contact person:
Simon Schläger