Programming VW robots for roof liners took months of manual tuning. Virtual simulation cut setup time to <1 day.
A subsidiary of a leading global automaker operating the "Transparent Factory" in Dresden, responsible for assembling complex vehicle components.
The assembly of large, flexible roof liners required precise manipulation that was difficult to automate, forcing engineers to spend weeks on manual...
“With NOVA, NVIDIA Isaac Sim, and NVIDIA Omniverse, we’re bridging IT and operations for a software-defined factory. We can confidently build, test, and deploy robotics applications virtually, making advanced automation accessible and scalable for everyone—including Volkswagen, one of our leading partners.”
Robot-agnostic operating system and platform for industrial automation.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Physical trials risked hardware damage. Simulating years of learning in hours cut dev cycles from weeks to days.
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
Physical trials risked hardware damage. Simulating years of learning in hours cut dev cycles from weeks to days.
Latency made robots too slow for the real world. A multi-agent system now coordinates vision and movement at human speed.
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 VW robots for roof liners took months of manual tuning. Virtual simulation cut setup time to <1 day.
A subsidiary of a leading global automaker operating the "Transparent Factory" in Dresden, responsible for assembling complex vehicle components.
The assembly of large, flexible roof liners required precise manipulation that was difficult to automate, forcing engineers to spend weeks on manual...
“With NOVA, NVIDIA Isaac Sim, and NVIDIA Omniverse, we’re bridging IT and operations for a software-defined factory. We can confidently build, test, and deploy robotics applications virtually, making advanced automation accessible and scalable for everyone—including Volkswagen, one of our leading partners.”
Robot-agnostic operating system and platform for industrial automation.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Physical trials risked hardware damage. Simulating years of learning in hours cut dev cycles from weeks to days.
Experts manually flipped through manuals to code. Technicians now use natural language to build and test programs 80% faster.
Physical trials risked hardware damage. Simulating years of learning in hours cut dev cycles from weeks to days.
Latency made robots too slow for the real world. A multi-agent system now coordinates vision and movement at human speed.
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.