Accelerate the Next Wave of AI Robots
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.
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.
News and Events
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.
NVIDIA Advances Physical AI at CVPR With the Largest Indoor Synthetic Dataset
For the annual AI City Challenge, hundreds of teams from around the world tested their AI models on physically based datasets generated with NVIDIA Omniverse.
Introducing Generative Physical AI
The world's leading robot companies are adopting NVIDIA Isaac and Omniverse™ to drive the next era of AI.
NVIDIA, Teradyne, and Siemens Gather in the ‘City of Robotics’ to Discuss Autonomous Machines and AI
At Teradyne companies Universal Robots and MiR’s new joint headquarters in Odense, Denmark, industry execs discussed the transformative impact of AI and collaboration on robotics.
NVIDIA and Alphabet’s Intrinsic Put Next-Gen Robotics Within Grasp
The companies unveiled a collaboration around the use of NVIDIA AI, Isaac Manipulator, and the Intrinsic platform at Automate in Chicago.
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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.
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Resources
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Research
Featured
NVIDIA Isaac Perceptor 3D Surround Vision
NVIDIA Isaac Perceptor, optimized on Jetson Orin, uses multiple cameras for 3D surround perception to detect obstacles. Using robust AI-based depth estimation, GPU-Accelerated 3D reconstruction, and semantic segmentation, the mobile robot can work more safely alongside humans.
Videos
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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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