04/10/2024

Grip-KI - Development of a robot cell for automated bin-picking, using digital twins and AI algorithms

Development of a engineering system for series production of robot applications for handling bulk goods with AI methods and a digital twin

Project details

Duration Sept 2021 - Jan 2024
Research theme Digitalisation & Artificial Intelligence
Project leader Prof. Ronald Schmidt-Vollus
Nürnberg Campus of Technology (NCT)
Faculty of Mechanical Engineering and Building Services Engineering
Project partners heinz mayer GmbH
Funding provided by Federal Ministry for Economic Affairs and Energy

Description

The handling of unsorted bulk goods objects plays a significant role in the manufacturing industry. Employees often have to manually separate the bulk goods objects on a production line. This subjects them to high stresses due to monotonous actions, dirt, and heavy workpiece weights. One solution is “bin-picking”, using robotic arms to pick up components or objects. The core aim of this project idea was to use the concept of a digital twin as part of a multi-physics simulation to generate synthetic training data for AI algorithms in the field of object recognition and localisation.

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