How Audi is Reimagining Production With Digital Twins and Physical AI
An Audi production planner’s role, company, and identity are not specified; the presentation describes how Audi uses digital twins and physical AI to train and validate robots for car assembly logistics.
In this talk
- 0:01
Preparing parts for assembly
Audi handles close to a million parts each day for car assembly. The presentation says physical AI and robots could help with this work.
- 0:14
Building the digital twin
Audi planners will create a digital twin in DELMIA using LEO, Dassault Systèmes’ virtual companion, and knowledge from the 3DEXPERIENCE platform. NVIDIA Omniverse sensor and physics libraries support simulated perception and movement.
- 0:28
Training robot fleets
The digital twin serves as a training environment for robot systems from Agile Robots and Idealworks. Teams can test varied tasks and conditions, validate robot behavior, and scale up to fleets. The approach is intended to support safe operation and reduce future logistics testing by months.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.