Kategorie: ‘industrielle Robotik’
Automated robotic dismantling/disassembly – screw detection and removal for electric vehicle recycling
Fully automatic disassembly with precision!
Our new robotic system is revolutionizing the disassembly of electric car batteries. Using the Neura Lara 8 robot and the latest image processing technologies, we recognize screws fully automatically and position the robot precisely to remove them safely.
Thanks to the integration of YOLOv8 and Intel RealSense depth cameras, the system can locate screws in real time and position them optimally on its own. No manual intervention necessary – the system works completely autonomously!
Our goal: to make the recycling process safer, faster and more efficient. Fewer risks for workers and maximizing the recovery of raw materials at the same time. This is the future of the circular economy!
You can find more information about #dimonta here.
contact:
Markus Schmitz
Daniel Gossen
3D Capsule Compliant Grippers
At the ASME IDETC-CIE conference in Washington, DC, we had the opportunity to present the prototype of the “3D Capsule Compliant Gripper”. This novel surgical manipulation tool was specifically designed to make lymph node isolation even more precise and gentle.
Our approach: a capsule-like structure with flexible, shape-optimized elements that have been tailored using a hill-climbing mutation algorithm. The white “petals” of the prototype were 3D printed from PLA, the red flexible components from TPU. Thanks to the cost-effective production at our institute, we were able to create the first efficient solution on a macro scale, which serves as a proof of concept.
Contact: Estefania Hermoza Llanos
Robot-Guided Form Scan and Coating
Automatic shape recognition via laser scanner and trajectory planning for coating.
In this project, shapes are detected and their edges are realized by a laser scanner mounted on the end effector of the robot. The collected data is synchronized and filtered, and a suitable trajectory is created for coating the inner surface of the forms. Several variables, such as nozzle speed, spacing and gaps, nozzle size, and outlier for homogeneous coating can be selected during trajectory planning.
The project was carried out in cooperation with International Partners in Glass Research e.V.
Watch this video on YouTube: https://youtu.be/SAHmeuPKeG4
The content embedded at this point takes you to pages provided by the YouTube site operated by Google – YouTube, LLC, 901 Cherry Ave, San Bruno, CA 94066, USA. By calling up the content, YouTube can determine your IP address and the language of the system, as well as various browser-specific details. If you are logged into your YouTube account, you enable YouTube to assign your surfing behavior directly to your personal profile. You can prevent this by logging out of your YouTube account. YouTube uses cookies and tracking tools. The data processing operations as well as the purposes of the processing can be requested and viewed directly at YouTube.
Contact person:
