Accelerate AI-enabled robotics—from development to simulation to deployment.
Multiple industries are taking advantage of robotics to advance their success, including manufacturing, retail, agriculture, logistics and warehouses, delivery, healthcare, and more. From hardware solutions on Jetson™ to software solutions on Isaac™, NVIDIA offers an end-to-end robotics platform to train, develop, and deploy AI-enabled robots at scale.
More than 1.2 million developers and over 10,000 customers have chosen NVIDIA robotics solutions—including Amazon Web Services, Cisco, John Deere, Medtronic, Pepsico, Siemens, and more. They’re streamlining production, improving logistics and efficiencies in workflows, and reducing costs in manufacturing facilities, warehouses, and out in the field.
More than 10,000 companies building on the NVIDIA Jetson platform can now use new generative AI, APIs, and microservices to accelerate industrial digitalization.
Outside the glare of the klieg lights that ChatGPT commanded this year, a troupe of autonomous machines nudged the frontiers of robotics forward. Here are five that showed special prowess swimming, diving, gripping, seeing, strolling, and flying through 2023.
Start training using NVIDIA pre-trained models. Then, augment the models with synthetic data generated in NVIDIA Isaac Replicator and train using NVIDIA TAO to achieve target performance.
Create photorealistic and physically accurate environments to develop and test every aspect of robot operations entirely in simulation before deployment using NVIDIA Isaac Sim™. It’s accessible both locally and in the cloud.
Save time by using Nova Orin™ and add AI to your NVIDIA Jetson-based robots with hardware-accelerated SDKs. These include Isaac ROS for ROS-based robots, the NVIDIA DeepStream SDK for streaming video understanding, and NVIDIA Riva for natural language processing.
You can also accelerate development using Jetson Generative AI Lab to use with the latest open-source generative AI models.
Warehouse and manufacturing centers are simplifying and streamlining product flows with AI-powered robots. Large retailers like AWS are using robotics technology to unload and sort items based on priority and department, check stock levels, correct shelf locations, ensure price accuracy, navigate autonomously, and move objects.
Ambi Robotics, Beckoff, Boston Dynamics, CoBot, Covariant, and Vayu Robotics are part of NVIDIA’s growing robotics ecosystem embracing groundbreaking AI and simulation advances.
In the lead-up to next month’s CES trade show in Las Vegas, NVIDIA will unveil its latest advancements in artificial intelligence — including generative AI — and a spectrum of other cutting-edge technologies.
Powered by Nova Orin™, Nova Carter is a complete robotics development platform that accelerates the development and deployment of next-generation Autonomous Mobile Robots (AMRs).
NVIDIA Jetson, with its broad and diverse user base and partner ecosystem, has helped drive a revolution in robotics and AI at the edge…As application requirements become increasingly complex, we need a foundational shift to platforms that simplify and accelerate the creation of edge deployments. This significant software expansion by NVIDIA gives developers access to new multi-sensor models and generative AI capabilities.
— Jim McGregor, principal analyst at Tirias Research
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
Learn how companies use NVIDIA’s robotics solutions across industries to optimize processes, reduce risk, and trim costs.
Amazon Robotics is building digital twins of their warehouses using NVIDIA technology to better optimize warehouse design, train intelligent robot assistants, and improve productivity.
Electronics manufacturer, Pegatron, is using NVIDIA AI and Omniverse™ to digitalize their factories. This helps them accelerate factory bring-up, minimize change orders, continuously optimize operations, and maximize production line throughput—all while reducing costs.
Monarch Tractor’s MK-V tractor, which uses the Jetson edge AI platform, combines electrification, automation, and data analysis to help farmers reduce their carbon footprint, improve field safety, streamline farming operations, and increase their bottom line.
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A look at how NVIDIA robotics ecosystem partners are using NVIDIA Isaac Sim for their robotics simulation needs.
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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.
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