As factories face challenges like labor shortages and the need for faster production, AI-powered robots are becoming the solution. At Automate 2025, the largest robotics event in North America, major robotics and manufacturing companies including KUKA, Siemens, Standard Bots, Universal Robots, and Vention unveiled their NVIDIA-powered automation solutions.
These innovations use NVIDIA platforms like Isaac, Omniverse, and Jetson to build, train, and run intelligent robots designed to improve efficiency on the factory floor.
NVIDIA Drives the Future of Industrial Robots
NVIDIA’s three-computer architecture for training, simulation, and real-time execution is helping companies shift toward AI-driven, software-defined factories.
The manufacturing industry is undergoing a major transformation with AI and automation, said Deepu Talla, VP of Robotics and Edge AI at NVIDIA.
Faster Robot Training With Synthetic Data
Training robots typically requires collecting lots of real-world data a time-consuming process. Now, with NVIDIA Isaac Lab 2.1, developers can use synthetic data instead. This new version introduces the Isaac GR00T Blueprint, which helps generate synthetic motion data for robotic arms and humanoids. It’s built using NVIDIA Omniverse and Cosmos world models, speeding up how fast robots learn new tasks.
Partner Highlights: AI in Action
Universal Robots (UR)
- Introduced the UR15, their fastest collaborative robot (cobot).
- Powered by NVIDIA Jetson AGX Orin and CUDA-accelerated AI libraries.
- Uses the UR AI Accelerator for intelligent movement and better cycle times.
Vention
- Launched MachineMotion AI, a smart controller combining vision, motion, and AI.
- Handles real-time tasks like bin-picking and object detection.
- Runs on NVIDIA Jetson and Isaac libraries.
Standard Bots
- Showed a robot with a 30kg payload and 2m reach for heavy lifting in industries like automotive and aerospace.
- Trains using Isaac Sim no manual coding needed.
- Also, tablet-based teleoperation was unveiled for quick training data collection.
KUKA
- Released the KR C5 Micro-2, a compact controller with NVIDIA Jetson integration.
- Designed for smart vision and AI-powered robot control in future models.
Smarter Video AI for Factories
Alongside robots, factories also need smarter ways to handle video data. NVIDIA launched an AI Blueprint for Video Search and Summarization (VSS) under its Metropolis platform. This combines generative AI, large language models, and vision-language models to,
- Analyze factory video footage
- Help with inspections, safety, and decision-making
- Save time and reduce manual monitoring
Developers can test this tool in the cloud using NVIDIA Launchable.
How Others Are Using NVIDIA AI in the Field?
- Siemens: Showed its Industrial Copilot, a voice-powered AI assistant that helps workers with instructions on the factory floor.
- Connect Tech: Uses drone footage with NVIDIA Jetson to detect hazards like fire or flooding in remote areas.
- DeepHow: Converts workflow videos into training materials using generative AI.
- InOrbit.AI: Improves robot coordination using computer vision and VSS AI.
- KoiReader: Offers real-time supply chain and factory insights through vision and AI tools.
Join NVIDIA at Automate 2025 Sessions
Some featured sessions include.
- Industrial Autonomy in the Era of Physical AI: Keynote by Deepu Talla
- AI to Make Human Operators Better: With NVIDIA and DeepHow
- AI Everywhere: Panel on robotics and automation
- Smart Factory Digital Twins: Powered by Omniverse
- Vention’s AI Journey: A Deep Dive with Vention and NVIDIA
- The Automate Startup Challenge: Pitch competition for new robotics startups
Conclusion
With AI tools from NVIDIA, manufacturers can now.
- Build and train smarter robots faster
- Automate complex tasks
- Improve quality and safety
- Make better decisions using video and data
From training robots in simulations to deploying AI assistants on the factory floor, NVIDIA and its partners are shaping the future of industrial automation.
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