BMW Group Selects NVIDIA Platform to Enhance its Automotive Factories

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BMW Group has selected the new NVIDIA Isaac™ robotics platform to increase the performance of its automotive factories by utilizing logistics robots built on advanced AI computing and visualization technologies.

The collaboration centers on implementing an end-to-end system based on NVIDIA technologies with robots developed using one software architecture, running on NVIDIA’s open Isaac robotics platform. BMW Group’s goal is to enhance logistics factory flow to produce efficiently custom-configured cars. After the development of this system it will be deployed to BMW Group factories globally.

Jensen Huang, founder and CEO of NVIDIA said, “BMW Group’s use of NVIDIA’s Isaac robotics platform to reimagine their factory is revolutionary. BMW Group is leading the way to the era of robotic factories, harnessing breakthroughs in AI and robotics technologies to create the next level of highly customizable, just-in-time, just-in-sequence manufacturing”.

The collaboration uses:

  • NVIDIA DGX™ AI systems
  • Isaac simulation technology (For training and testing the robots)
  • NVIDIA Quadro® ray-tracing GPUs (to render synthetic machine parts).
  • A new lineup of multiple AI-enabled robots.

These robots are built on the Isaac software development kit, powered by high-performance NVIDIA Jetson™ and EGX™ edge computers.

Jürgen Maidl, senior vice president of Logistics for the BMW Group said, “BMW is committed to the Power of Choice for our customers — customization of diverse features across diverse vehicles for diverse customers. Manufacturing high-quality, highly customized cars, on multiple models, with higher volume, on one factory line requires advanced computing solutions from end-to-end. Our collaboration with NVIDIA allows us to develop the future of factory logistics today and to ultimately delight BMW Group customers worldwide”.

To optimize the complexity of the material flow, autonomous AI-powered logistics robots will assist in assembling customized vehicles.

Jürgen Maidl said, “Ultimately, the sheer volume of possible configurations became a challenge to BMW Group production in three fundamental areas – computing, logistics planning, and data analysis”.

BMW Group’s response is to use NVIDIA’s Isaac robotics platform to develop five AI-enabled robots to improve their logistics workflow, powered by a variety of NVIDIA Jetson AGX Xavier™ and EGX edge computers.

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