Accelerate Automation With NVIDIA Robotics
Explore the Next Wave of AI
Companies everywhere are turning to autonomous machines and AI-powered robots to improve efficiency, integrate new technologies, and meet hiring and labor challenges.
NVIDIA’sthree-computer solution enables robots to see, learn, perceive their surroundings, and make decisions in real time. This is driven by advances in AI, accelerated computing, robotic foundation models, physically accurate simulation, and a strong ecosystem of robotics partners.
NVIDIA Robotics gives you everything you need to build, test, and deploy AI robots faster—from the cloud to the edge—including specialized hardware, AI models, and accessible development tools.
The Three-Computer Solution: Powering the Next Wave of AI Robotics
Industrial and physical AI systems, from humanoids to factories, are accelerated by NVIDIA’s three computers for training, simulation, and inference.
NVIDIA Releases New Physical AI Models as Global Partners Unveil Next-Generation Robots
NVIDIA announced new open models, frameworks and AI infrastructure to power the next-generation of AI robots for every industry.
Use Cases
Discover AI for Robotics
Humanoid Robots
Accelerate the development of advanced AI robotics.
General-purpose humanoid robots are designed to adapt to human-centric urban and industrial workspaces, tackling tedious, repetitive, or physically demanding tasks. They’re increasingly being used in factories and healthcare facilities to assist humans and alleviate labor shortages.
Robot Learning
Train robot policies in simulation.
Preprogrammed robots struggle with unexpected changes, while AI-driven robots use simulation-based learning to adapt to dynamic environments. This lets them refine capabilities like navigation and manipulation, improving performance in a wide variety of scenarios.
Robotics Simulation
Develop physically accurate sensor simulation pipelines for robotics.
Physical AI-powered robots need to autonomously perform complex tasks in dynamic environments. A "sim-first" approach is essential, allowing developers to train and validate these robots in physics-based digital twins before deployment.
Synthetic Data Generation
Accelerate development of physical and agentic AI workflows.
Synthetic data addresses the challenge of data scarcity by providing text, videos, and images that can be used alongside real data to train multimodal physical AI models, saving time and reducing costs.
Industrial Facility Digital Twins
Develop advanced, generative AI-enabled virtual facility solutions.
Virtual facilities—including factories, warehouses, distribution centers, semiconductor fabs, and data centers—unlock new possibilities for heavy industries. These virtual environments enable the design, simulation, operation, and optimization of assets and processes entirely in a digital space.
Success Stories
See the Real-World Impact of AI
Learn how AI-powered robots and accelerated computing are enhancing autonomy, boosting efficiency, and lowering operational costs.
Technology
AI for Robotics—From Simulation to Real, Cloud to Edge
Learn about the NVIDIA Robotics platform for robotics and vision AI.
Robotics
- Accelerate robotics with AI—from development to simulation to deployment.
- Enable key robotic functions: mobility, grasping, navigation, functional safety, and perception.
- Build robots across industries, including manufacturing, retail, agriculture, logistics, delivery, healthcare, and more.
Vision AI
- Train, build, deploy, and scale vision AI applications from edge to cloud
- Unlock valuable insights for many spaces, including retail, warehouses, cities, and more.
- Bring visual data and AI together to improve efficiency and safety in multiple industries.
Edge AI
- Bring the power of AI to edge devices and process data at the source.
- Discover actionable, real-time insights to make better decisions, improve services, and streamline operations.
- Improve security and reduce costs through local processing.
RTX PRO Server—the Best Platform for Industrial and Physical AI
NVIDIA RTX PRO Server accelerates every industrial digitalization, robot simulation, and synthetic data generation workload.
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.
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.
Resources
Explore NVIDIA Robotics
- Blogs
- Videos
- Community
The Next Wave of AI: Physical AI
Physical AI models can perceive, understand, interact, and navigate the physical world using generative AI.
NVIDIA Accelerating the Future of AI & Humanoid Robots
NVIDIA unveiled a suite of services, models, and computing platforms designed to accelerate the development of humanoid robots globally.
How Robots Learn to Be Robots
Explore the continuous loop of robot AI simulation, training, testing, and real-world experience powered by three computers built by NVIDIA.
NVIDIA Developer Program
Connect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs—all the tools necessary to successfully build apps with NVIDIA technology—through the NVIDIA Developer Program.
NVIDIA Inception
Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities.
Next Steps
Ready to Get Started?
Create autonomous mobile robots (AMRs), arms and manipulators, humanoids, and more with the NVIDIA Isaac platform.
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