Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
A global motion technology manufacturer operating over 100 plants produces complex components for the automotive and industrial sectors.
Labor shortages and rising product complexity strained operations, while developing new robotic tasks for assembly lines required hundreds of hours...
“Schaeffler is consistently and persistently driving the digitalization of its plants. To be able to shape the production of the future, you need strong partners like NVIDIA. Together, we will create a digital ecosystem for our more than 100 plants that will sustainably revolutionize production processes.”
Automotive and industrial supplier of precision bearings and motion technology.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Helped Schaeffler deploy trained AI models onto physical robots using a virtual controller.
Related implementations across industries and use cases
Programming VW robots for roof liners took months of manual tuning. Virtual simulation cut setup time to <1 day.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
Programming VW robots for roof liners took months of manual tuning. Virtual simulation cut setup time to <1 day.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
A global motion technology manufacturer operating over 100 plants produces complex components for the automotive and industrial sectors.
Labor shortages and rising product complexity strained operations, while developing new robotic tasks for assembly lines required hundreds of hours...
“Schaeffler is consistently and persistently driving the digitalization of its plants. To be able to shape the production of the future, you need strong partners like NVIDIA. Together, we will create a digital ecosystem for our more than 100 plants that will sustainably revolutionize production processes.”
Automotive and industrial supplier of precision bearings and motion technology.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Helped Schaeffler deploy trained AI models onto physical robots using a virtual controller.
Related implementations across industries and use cases
Programming VW robots for roof liners took months of manual tuning. Virtual simulation cut setup time to <1 day.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
Programming VW robots for roof liners took months of manual tuning. Virtual simulation cut setup time to <1 day.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.