NVIDIA Robotics Solutions and Applications

Accelerate the Next Wave of AI Robots

Innovate With NVIDIA Robotics

Everything that moves will one day be autonomous. Demand for autonomous machines and AI-enabled robots is at an all-time high as industries look to improve operational efficiency, combat workforce shortages, optimize repetitive tasks, and manage dangerous tasks or environments.

With major advancements in AI, accelerated computing, physically based simulation, and a vast ecosystem of sensors and actuators, today’s AI robots can easily adapt, learn, and perform complex tasks with precision.

Developers are using NVIDIA Robotics full-stack, accelerated cloud-to-edge systems, acceleration libraries, and optimized AI models to develop, train, simulate, deploy, operate, and optimize their robot systems and software.

Advancing the Future of AI and Humanoid Robots

Catch up with Jim Fan from the NVIDIA Research team as he discusses the latest suite of tools, models, and platforms developers can use to improve their AI models and more efficiently build humanoid robots.

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NVIDIA Accelerates Worldwide Humanoid Robotics Development

Advance generative AI for robotics with NVIDIA NIM™ inference microservices for robotics simulation in Isaac Lab and Isaac Sim™, OSMO robot cloud compute orchestration service, teleoperated data capture workflows, and more.

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NVIDIA Announces Generative AI Models and NIM Microservices for OpenUSD Language, Geometry, Physics and Materials

New services accelerate universal scene description-based workflows and development of industrial digital twins and robotics.

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Ecosystem

NVIDIA Robotics Partners and Ecosystem

ROS Ecosystem

NVIDIA Isaac ROS is built on the open-source ROS 2™ (Robot Operating System) software framework. This means the millions of developers in the ROS community can easily take advantage of NVIDIA-accelerated libraries and AI models to accelerate their AI robot development and deployment workflows.

Learn About Isaac ROS

NVIDIA Jetson Partner Network

Discover a large community of partners that can help you build your full robot system with products ranging from specialized boards to AI software to application design services to sensors and developer tools.

Meet Our Partners

News and Events

NVIDIA Announces Generative AI Models and NIM Microservices for OpenUSD Language, Geometry, Physics, and Materials

Learn how these new services accelerate universal scene description-based workflows and development of industrial digital twins and robotics.

Read the Press Release

Fraunhofer IML

NVIDIA Announces Omniverse Microservices to Supercharge Physical AI

NVIDIA Omniverse™ Cloud Sensor RTX generates synthetic data to speed AI development of autonomous vehicles, robotic arms, mobile robots, humanoids, and smart spaces.

Read About Omniverse Cloud Sensor RTX

Fraunhofer IML

NVIDIA Advances Physical AI at CVPR With the Largest Indoor Synthetic Dataset

For the annual AI City Challenge at CVPR, hundreds of teams from around the world tested their AI models on physically based datasets generated with NVIDIA Omniverse. The results will help researchers and developers advance the development of solutions for smart cities and industrial automation.

Read About the AI City Challenge

Image of a robot gently holding the hand and arm of a patient in a hospital.

Fourier Intelligence

Introducing Generative Physical AI

NVIDIA Omniverse‬ is a development platform for virtual world simulation that combines real-time physically based rendering, physics simulation, and generative AI technologies. In Omniverse, robots can learn to be robots—minimizing the sim-to-real gap, and maximizing the transfer of learned behavior.

Learn About Generative Physical AI

Fourier Intelligence

Combined image of a virtual factory and real factory featuring robot arms.

Robotic Factories Supercharge Industrial Digitalization as Electronic Makers Adopt NVIDIA AI and Omniverse

NVIDIA Omniverse, Isaac, and Metropolis enable Delta Electronics, Foxconn, Pegatron, and Wistron to digitally build, simulate and operate factory digital twins.

Read About Digital Twins

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Technology

AI for Robotics—From Simulation to Real, Cloud to Edge

Learn about the NVIDIA Robotics platform for robotics and vision AI.

AI Robot Development

The Isaac robotics platform includes a full suite of NVIDIA-accelerated systems, libraries, application frameworks, and generative AI models to help you advance AI perception, manipulation, and simulation.

Learn About NVIDIA Isaac

Vision AI

NVIDIA Metropolis is an application framework, set of developer tools, and partner ecosystem that brings visual data and AI together. This helps improve operational efficiency and safety across a range of industries.

Explore NVIDIA Metropolis

Sensor and Physics Simulation

Physically accurate simulation and synthetic data generation accelerate development, testing, and validation of AI robots. NVIDIA Isaac Sim is a fully customizable application framework, built on Omniverse, that lets you put these tools to work to simulate and test your AI robots’ trained skills.

Explore NVIDIA Isaac Sim

Robot DevOps

AI robot development workflows are complex, requiring many workloads to be orchestrated across several compute environments. Now, developers can use NVIDIA OSMO to easily deploy multi-container workloads across heterogeneous shared compute resources with no specialized knowledge.

Learn About NVIDIA OSMO

For the broader industry, our work with NVIDIA shows how foundation models can have a profound impact, including making today’s processing challenges easier to manage at scale, creating previously infeasible applications, reducing development costs, and increasing flexibility for end users.

— Wendy Tan White, CEO at Intrinsic

ROS continues to grow and evolve to provide open-source software for the whole robotics community…NVIDIA’s new prebuilt ROS 2 packages, launched with this release, will accelerate that growth by making ROS 2 readily available to the vast NVIDIA Jetson developer community.

— Geoff Biggs, CTO of the Open Source Robotics Foundation

At Collaborative Robotics, we have a deep conviction that the future of robotics involves collaborative robots working alongside humans…We’ve adopted a sim-first development approach, using Isaac Sim extensively to accelerate our development and deployment timelines.

— Jon Battles, VP of Technology Strategy of Collaborative Robotics

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Resources

Take a Deeper Dive Into Autonomous Machines and AI Robots

Videos
Blogs
Research

NVIDIA Isaac Sim for robotics simulation

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NVIDIA Isaac Perceptor 3D Surround Vision

NVIDIA Isaac Perceptor, optimized on Jetson Orin, uses multiple cameras for 3D surround perception to detect obstacles. Robust AI-based depth estimation, GPU-accelerated 3D reconstruction, and semantic segmentation lets the mobile robot work more safely alongside humans.

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Shaping the Future of Simulation, Perception, and Human-Robot Interaction

NVIDIA Research uses artificial intelligence to enable breakthroughs in robotics that solve real-world problems in a variety of industries like manufacturing, logistics, and healthcare. We focus on areas such as robot manipulation, physics-based simulation, and robot perception. The goal is to develop the next generation of robots that can robustly manipulate the physical world and safely work alongside humans.

Developer Resources and Support

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