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ROBOTIK UND MECHATRONIK

Kategorie: ‘C++’

Semi-Automated Tile-Laying Aid

May 7th, 2024 | by
Dieses Video auf YouTube ansehen.
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As part of the ErgoFli project, an innovative system is being developed in collaboration with project partners to help tile layers make their work more ergonomic and efficient.

In the video you can see how the system works in the Gazebo simulation environment. The robot automatically removes tiles from a magazine and matches them perfectly to the tiles already laid. With automatic processes, several tiles can be laid in succession to optimize the work process.

Our aim is to create a tool that not only reduces the workload for tilers, but also improves their working environment. We are excited about the progress and look forward to sharing more insights with you soon!

Find out more about the project here.

Contact person:
Mark Witte
Jan Wiartalla

IMBA training for the IIDEA project team

May 7th, 2024 | by

Our IIDEA-project team took part in a training course on the “Integration of people with disabilities into the world of work” (IMBA).

IMBA is positioned at the interface of medical and occupational rehabilitation and enables a precise description and comparison of work requirements and human abilities. The training covered the basics of IMBA, with a particular focus on the defined characteristics that serve as the basis for the assessment of work requirements and abilities. A highlight of the training was the introduction to the “Marie Plus” software, which is closely linked to the IMBA concept. The training was conducted by Torsten Alles, Ph.D., Managing Director of iqpr. His extensive knowledge and experience helped to emphasize the importance of IMBA in occupational therapy and activity-based medical rehabilitation.

We are convinced that this training will support our previous research and make a valuable contribution to the IIDEA project. We are grateful for the expertise we have gained through this training and look forward to applying the acquired knowledge in our daily work.

Here you can find more information about the IIDEA project.

contact person:
Mathias Hüsing
Carlo Weidemann
Elodie Hüsing
Sophie-Charlotte Keunecke
Christina Jansen

Participation at European Robotics Forum (ERF) Hackathon 2022

July 19th, 2022 | by

As part of the European Robotics Forum (ERF) Hackathon 2022, six IGMR students demonstrated their talent in prototyping and working with robots. The hackathon challenge was set by Lely, among others. Their Juno mobile robots are autonomous cylindrical platforms whose main task is to move the fencing around cows on farms to make the feed pushed into the space accessible again. The hackathon task was similar: two Juno robots had to move along the walls of two interconnected rooms at a given distance. Additional restrictions and challenges were added for extra points. The team was successful at the hackathon in Rotterdam. After a neck-and-neck race, the first place went to TU Delft. At the award ceremony, we were praised as the most cooperative team for our constant support of other teams in design and 3D printing. This exemplary behaviour is much appreciated and we look forward to taking part again next year.

Special praise goes to our students Sebastian Polzin, Frederik van Kerkom, Jonas Braun, Oleksander Kutovyi, Ali Berger and Yannik Freischlad for their efforts. We congratulate TU Delft on their well-deserved victory and are happy to have won many new friends and valuable contacts. We thank the institute management for the opportunity to participate and look forward to next year.

Contact:

Daniel Gossen

Integrated AI task planning and screw recognition in a production scenario

May 25th, 2022 | by
Dieses Video auf YouTube ansehen.
Der an dieser Stelle eingebundene Inhalt führt Sie auf Seiten, die von der von Google betriebenen Seite YouTube - YouTube, LLC, 901 Cherry Ave., San Bruno, CA 94066, USA - zur Verfügung gestellt werden. Mit dem Aufruf des Inhalts kann YouTube Ihre IP-Adresse und die Sprache des Systems, sowie verschiedene browserspezifische Angaben ermitteln. Wenn Sie in Ihrem YouTube-Account eingeloggt sind, ermöglichen Sie YouTube, Ihr Surfverhalten direkt Ihrem persönlichen Profil zuzuordnen. Dies können Sie verhindern, indem Sie sich aus Ihrem YouTube-Account ausloggen. YouTube verwendet Cookies und Tracking-Tools. Die Datenverarbeitungsvorgänge sowie die Zwecke der Verarbeitung können direkt bei YouTube erfragt und eingesehen werden.

The video is also available on our YouTube channel.

Contact:
Daniel Gossen

Task Planning for AI in an Office Scenario with Mobile Manipulators

May 20th, 2022 | by

Manipulator-specific path planning for multidirectional additive manufacturing

January 20th, 2021 | by

In a joint research project between the IGMR and the ISF of RWTH Aachen University, research is being conducted on the Multidirectional Additive Manufacturing of metallic components.

With the aid of Multidirectional Additive Manufacturing (MDAM), it is possible to build complex components layer by layer and without the need for support structures. By moving the base plate by means of an industrial robot while the welding gun remains fixed, the component to be printed can always be oriented in such a way that support structures can be avoided. The major challenge lies in the consideration of specialized welding processes with external wire feeding and the use of sensors for process monitoring. This results in a dependency of the orientation of the welding gun compared to the currently printed path.
As part of his master’s thesis, Jan Wiartalla developed a path planning algorithm that calculates an executable and, if possible, continuous path within specified, flat part slices that completely fills the cross-sectional area. This is done robot-specific, so that the algorithm always takes the robot currently in use as well as its limitations into account. A standardized interface allows for the robot model to be easily exchanged and the algorithm can thus quickly be adapted to different test environments. The video illustrates the algorithm’s procedure in a simplified way.

 

 

Dieses Video auf YouTube ansehen.
Der an dieser Stelle eingebundene Inhalt führt Sie auf Seiten, die von der von Google betriebenen Seite YouTube - YouTube, LLC, 901 Cherry Ave., San Bruno, CA 94066, USA - zur Verfügung gestellt werden. Mit dem Aufruf des Inhalts kann YouTube Ihre IP-Adresse und die Sprache des Systems, sowie verschiedene browserspezifische Angaben ermitteln. Wenn Sie in Ihrem YouTube-Account eingeloggt sind, ermöglichen Sie YouTube, Ihr Surfverhalten direkt Ihrem persönlichen Profil zuzuordnen. Dies können Sie verhindern, indem Sie sich aus Ihrem YouTube-Account ausloggen. YouTube verwendet Cookies und Tracking-Tools. Die Datenverarbeitungsvorgänge sowie die Zwecke der Verarbeitung können direkt bei YouTube erfragt und eingesehen werden.

Contacts:

Jan Wiartalla

Markus Schmitz