Schlagwort: ‘Trajektorie’
IMBA training for the IIDEA project team
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.
contact person:
Mathias Hüsing
Carlo Weidemann
Elodie Hüsing
Sophie-Charlotte Keunecke
Christina Jansen
New research topic at IGMR: Pick & Toss
Today’s production plants would be unthinkable without robotic pick & place processes. Handling objects are picked by the robot and placed at the target position with the desired target orientation. An innovative possibility to significantly increase the workspace of a robot and to reduce process times is the extension of this process by the targeted throwing of handling objects. Possible areas of application are the sorting of products that are not damaged during the throwing process (e.g. screws or nuts) or whose damage is of secondary relevance (e.g. sorting out defective products, separating materials in recycling plants).
Our goal is to describe the robotic pick & toss process using a combination of classical analytical and machine learning models to make the innovative process industrially viable.
Contacts:
Nils Brückmann
Johannes Bolk
Lösungen der Praktischen Übungen in Robotic Systems
Auch in diesem Jahr haben uns wieder kreative Lösungen für Problemstellungen aus dem Modul Robotic Systems erreicht. Die Studierenden konnten erste Erfahrungen bei der Programmierung eines Fanuc Roboters in Roboguide sammeln. Eine Umfangreiche Programmieraufgabe galt es weiterhin an der Fanuc Education Cell zu lösen. Auf Grund der Einschränkungen der Präsenzveranstaltungen mussten alle Lösungen virtuell in Roboguide gelöst werden. Im nächsten Winter wird dann wieder am realen Roboter erprobt.
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