NVIDIA Unlocks Next-Gen Robotics with Omniverse, Cosmos Models, and AI Compute Infrastructure

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What’s New:

At SIGGRAPH today, NVIDIA unveiled a major leap in robotics innovation with three key offerings:

  1. Omniverse Libraries & SDKs

    • These tools now support Universal Scene Description (OpenUSD) and MuJoCo (MJCF) formats, unlocking seamless simulation for over 250,000 robot learning developers.

    • NuRec libraries and neural rendering models enable realistic 3D world reconstruction from sensor data using RTX ray-traced Gaussian splatting.

    • Isaac Sim 5.0 and Isaac Lab 2.2 open-source frameworks now feature the above enhancements plus OpenUSD-based schemas, easing the sim-to-real gap. These tools are fully available on GitHub.

robotics and omniverse

  1. Cosmos Foundation Models for Robotics

    • Cosmos Transfer-2 streamlines synthetic data creation from simulation scenes using rich spatial controls like depth maps and segmentation. A distilled variant simplifies this down to a single-step generation on RTX PRO servers.

    • Cosmos Reason is a 7-billion-parameter vision-language model that blends physics understanding and common sense, enabling robots to decompose complex commands, reason in unfamiliar settings, and support data annotation, planning, and analytics tasks.

  2. Powerful AI Compute Tools

    • RTX PRO Blackwell Servers handle the full spectrum—from training and simulation to synthetic data generation and inference.

    • DGX Cloud, now on Microsoft Azure Marketplace, provides a fully managed platform for streaming OpenUSD- and RTX-based applications. Early adopters include Accenture and Hexagon.

Watch the NVIDIA Research special address at SIGGRAPH.

Why It Matters for Developers:

Together, these tools propel physical-AI and robotics development forward, enabling realistic world modeling, streamlined synthetic data workflows, advanced reasoning, and scalable compute access. It’s a powerful ecosystem opening new possibilities for autonomous systems and robotics innovation.

Read more here.