Schlagwort: ‘Trajektorie’
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
Cross section group: Application Dynamics
The Application Dynamics team is made up of members from all IGMR research areas. This allows the skills in vibration analysis and machine dynamics to be optimally combined with the expertise and many years of experience in power transmission and robotics. This fusion of the Institute’s internal research priorities enables solutions to be found to problems that require both technical knowledge of dynamics and application-specific expertise. This cross section of knowledge is applied, for example, in the form of a needs-based investigation and exploitation of the dynamic effects of a system. The focus is on applications in robotics and gearing, but also covers all types of mechanical motion systems. The current research horizon ranges from kinematic redundancy and high-speed trajectories to the use of neural networks to extend the workspace through innovative object manipulation.
Contact: 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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