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NVIDIA Jetson Agx Systems for Robotics

Smarter robotics for real-world challenges

Next-gen Automation, Powered by Deep Learning

Today's robots can do more than just perform tasks. They can learn, adapt, and evolve using capabilities like machine learning, computer vision, navigation, and more. NVIDIA^® Jetson AGX^TM systems use the power of deep learning to drive this exciting new era of smart embedded robotics—from manufacturing and agriculture to security and home-based healthcare.

Add Modern Ai to Your Next Autonomous Machine

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Redefining Car Manufacturing

BMW Group needed to accelerate its ability to produce build-to-order vehicles in its factories. So they worked with NVIDIA to redefine factory logistics with AI from end-to-end. Their new state-of-the-art automotive factories will be built on advanced AI computing and visualization for logistics robots, data analytics, and high-resolution simulation for robotics training and factory planning.

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Redefining Car Manufacturing

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Nvidia Isaac Sdk

The NVIDIA Isaac^™ Software Development Kit (SDK) gives you a comprehensive set of tools, libraries, GPU-enabled algorithms and tutorials to accelerate development of robotics applications.

Isaac SDK’s runtime framework is designed for developing production-quality, AI-enabled solutions optimized for deployment on NVIDIA^® Jetson Platform^™.

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Featured Case Study

This video shows the sim-to-real process on NVIDIA AI platforms. BMW Group’s Smart Transport Robot (STR) and SortBot use Isaac for multi-modal functions including motion planning, object detection, and pose estimation. The robots are shown in Isaac Sim on Omniverse delivering accurate physics and realism and also working in the real BMW factory.

Get Started With Industry-leading Embedded Solutions.

From Our Blog

Robotics Reimagined: NVIDIA Releases Isaac SDK to Accelerate Creating Autonomous Machines

The Ultimate AI Machine: BMW Group Selects NVIDIA to Create the Future of Factory Logistics

BMW Group’s annual car sales have doubled over the past 10 years to 2.5M vehicles. Multiple car models with an average of 100 different options mean that 99 percent of customer orders are uniquely different from each other. With tens of millions of parts flowing in from suppliers around the world every day, this volume influx creates an immense challenge for factory logistics. BMW Group has selected NVIDIA’s Isaac Robotics Platform to enhance its automotive factories.

Resources for Embedded Systems Development

> NVIDIA Embedded Forum

> Jetson Embedded Portal for Developers

> Ecosystem Partners

NVIDIA Jetson Modules and Dev Kits

See the full range of AI-powered solutions for embedded everything.

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