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ROBOTIK UND MECHATRONIK

Schlagwort: ‘dimonta’

Project Launch: AuBa@C – Automation of Battery Disassembly

March 4th, 2025 | by

We kicked-off our new project “AuBa@C – Automation of Battery Disassembly using Advanced Hardware and Software for Battery Recycling” together with cylib. Here at IGMR, we conduct research into automated disassembly using robots. In the project together with cylib, we can transfer our expertise from projects such as Bots2ReC, SHEREC or di.monta to the disassembly of EV batteries.

We are excited to collaborate with cylib (Dr. Stefan-Octavian Bezrucav (Head of Pre-Processing and Robotics Expert) and Sara Ognjanovic (Project Manager for Automation in Battery Discharge and Disassembly).)

This project is supported by the “KUER.NRW | Grüne Gründungen Nordrhein-Westfalen” funding initiative, under the framework of the European Regional Development Fund (EFRE/JTF NRW 2021-2027), coordinated by the Ministry for the Environment, Nature Conservation, and Transport of North Rhine-Westphalia and the Projektträger Jülich (PtJ).

contact:
Stefan Groß

project website:
AuBa@C

Kategorie: dimonta, IGMR, Roboter
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Automated robotic dismantling/disassembly – screw detection and removal for electric vehicle recycling

November 7th, 2024 | by
Video Player

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

 

Kategorie: AI Task Planning, Algorithmen, Automated Task Planning, dimonta, Industrial Robotics, Industrial Scenario, Industrie, Industrie 4.0, industrielle Robotik, KI, KI Aufgabenplanung, KI Objekterkennung, künstliche Intelligenz, Objekterkennung, Roboter, Roboterprogrammierung, Robotic Systems, Robotik, ROS, Sensor
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