Wandelbots
Robotics simulation
Programming VW robots for roof liners took months of manual tuning. Virtual simulation cut setup time to <1 day.
- Assembly solution dev time cut from months to <1 day
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.
Engineers needed two days to label 1,000 images. Synthetic data now takes 10 minutes, training defect models 100x faster.
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.
Translating 25,000 ERP objects meant 1,250 hours of manual developer work. AI finished the job in 20 days with zero errors.
Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.
Fragmented server data bottlenecked scaling. A unified model cut hardware SKUs by 50% and eliminated dozens of manual processes.