NVIDIA has announced a new set of tools to make the development of advanced robots and artificial intelligence (AI) easier, faster and more realistic for enterprises and researchers.
Unveiled at Siggraph, the new Omniverse libraries and Cosmos models help developers create digital twins using highly accurate computer simulations. Developers can build and test robots and autonomous vehicles in virtual environments that closely resemble reality, saving time and costs.
“Computer graphics and AI are converging to fundamentally transform robotics. By combining AI reasoning with scalable, physically accurate simulation, we’re enabling developers to build tomorrow’s robots and autonomous vehicles that will transform trillions of dollars in industries,” said said Rev Lebaredian, Vice President of Omniverse and Simulation Technologies at NVIDIA.
The Omniverse NuRec 3D libraries allow engineers to reconstruct large, photorealistic worlds from real data to make simulations and synthetic training data much more realistic.
Major players such as Amazon Devices & Services, Boston Dynamics, Figure AI, and Hexagon are already using these technologies for robotics development.
NVIDIA’s new Cosmos family of AI models let developers generate huge amounts of high-quality synthetic data using prompts from text, images or videos. Robots then learn and adapt to a wide variety of scenarios, from factory floors to city streets.
The Cosmos physical AI models are powerful world foundation models that simulate real-world environments, generating life-like synthetic data to train robots and AI. They reduce costly real-world testing to enable safe experimentation, and accelerate development of capable, adaptable intelligent machines.
The Cosmos Reason model helps robots and AI agents to recognise objects as well as understand and act on complex scenarios, bringing machines closer to human-like reasoning.
Supporting these new tools are the RTX Pro Blackwell Servers and DGX Cloud, which enable even the most demanding simulations and AI training to run smoothly anywhere, whether on-premises or in the cloud.
Big names in robotics, manufacturing and autonomous driving are already adopting these new libraries and AI models to automate tasks, improve safety, and develop innovative new solutions. NVIDIA is also rolling out educational programmes and industry partnerships to help developers master these cutting-edge technologies.
Entelechy Asia 