Startup works with leading cell therapy companies to bring robotics manufacturing into the clean room, reducing costs by more than 70% while accelerating output compared with legacy systems.
The next universal technology since the smartphone is on the horizon — and it may be a little less pocket friendly. The Moonshot research program, funded by the Japan Science and Technology Agency and accelerated by NVIDIA AI and robotics technologies, is working to create a world by 2050 where AI-powered, autonomously learning robots are
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Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. Physical AI is moving from research labs into the real world, powering intelligent robots and autonomous vehicles (AVs) — such as robotaxis
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In Las Vegas’s T-Mobile Arena, fans of the Golden Knights are getting more than just hockey — they’re getting a taste of the future. ADAM, a robot developed with NVIDIA Isaac libraries, is pouring drinks and turning heads in one of the NHL’s most exciting venues. ADAM, short for Automated Dual Arm Mixologist, was developed
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Timed with the Microsoft Ignite conference running this week, NVIDIA is expanding its collaboration with Microsoft, including through the adoption of next-generation NVIDIA Spectrum-X Ethernet switches for the new Microsoft Fairwater AI superfactory, powered by the NVIDIA Blackwell platform. The collaboration brings new integrations across Microsoft 365 Copilot, as well as the public preview of
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NVIDIA and Google Cloud are expanding access to accelerated computing to transform the full spectrum of enterprise workloads, from visual computing to agentic and physical AI. Google Cloud today announced the general availability of G4 VMs, powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. Plus, NVIDIA Omniverse and NVIDIA Isaac Sim are now
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Robots around the world are about to get a lot smarter as physical AI developers plug in NVIDIA Jetson Thor modules — new robotics computers that can serve as the brains for robotic systems across research and industry. Robots demand rich sensor data and low-latency AI processing. Running real-time robotic applications requires significant AI compute
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In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven. To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing. At NVIDIA GTC Paris
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NVIDIA and Taiwan’s manufacturing ecosystem, including Delta Electronics, Foxconn, TSMC and Wistron, are showcasing this week at COMPUTEX in Taipei the crucial role digital twins play in accelerating industrial AI. These electronics, semiconductor and robotics manufacturing leaders are using Universal Scene Description (OpenUSD) and NVIDIA Omniverse libraries and blueprints to develop physically based digital twins.
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As the manufacturing industry faces challenges — such as labor shortages, reshoring and inconsistent operational strategies — AI-powered robots present a significant opportunity to accelerate industrial automation. At Automate, the largest robotics and automation event in North America, robotics leaders KUKA, Standard Bots, Universal Robots (UR) and Vention are showcasing hardware and robots powered by
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This National Robotics Week, NVIDIA highlighted the pioneering technologies that are shaping the future of intelligent machines and driving progress across manufacturing, healthcare, logistics and more. Advancements in robotics simulation and robot learning are driving this fundamental shift in the industry. Plus, the emergence of world foundation models is accelerating the evolution of AI-enabled robots
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According to Gartner, the worldwide end-user spending on all IT products for 2024 was $5 trillion. This industry is built on a computing fabric of electrons, is fully software-defined, accelerated — and now generative AI-enabled. While huge, it’s a fraction of the larger physical industrial market that relies on the movement of atoms. Today’s 10
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Tools like NVIDIA Isaac Sim enhance synthetic data generation, improving AI model performance and accelerating robotics development.
Field AI is building robot brains that enable robots to autonomously manage a wide range of industrial processes. Vention creates pretrained skills to ease development of robotic tasks. And Cobot offers Proxie, an AI-powered cobot designed to handle material movement and adapt to dynamic environments, working seamlessly alongside humans. These leading robotics startups are all
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With startup Zordi, founder Gilwoo Lee’s enthusiasm for robotics, healthy eating, better produce and sustainable farming has taken root. Lee hadn’t even finished her Ph.D. in AI and robotics at the University of Washington when investors seeded her ambitious plans for autonomous agriculture. Since researcher-turned-entrepreneur Lee founded Zordi in 2020 with Casey Call, formerly head
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To meet demand for Blackwell, now in full production, Foxconn, the world’s largest electronics manufacturer, is using NVIDIA Omniverse. The platform for developing industrial AI simulation applications is helping bring facilities in the U.S., Mexico and Taiwan online faster than ever. Foxconn uses NVIDIA Omniverse to virtually integrate their facility and equipment layouts, NVIDIA Isaac
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Robots transporting heavy metal at a Toyota plant. Yaskawa’s robots working alongside human coworkers in factories. To advance efforts like these virtually, Rikei Corporation develops digital twin tooling to assist planning. And if that weren’t enough, diversified retail holdings company Seven & i Holdings is running digital twin simulations to enhance customer experiences. Physical AI
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Editor’s note: This article, originally posted on Oct. 23, 2024, has been updated. Physical AI — the embodiment of artificial intelligence in robots, visual AI agents, warehouses and factories and other autonomous systems that operate in the real world — is experiencing its breakthrough moment. To help developers build effective physical AI systems in industries
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At ROSCon in Odense, one of Denmark’s oldest cities and a hub of automation, NVIDIA and its robotics ecosystem partners announced generative AI tools ,simulation, and perception workflows for Robot Operating System (ROS) developers. Among the reveals were new generative AI nodes and workflows for ROS developers deploying to the NVIDIA Jetson platform for edge
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Silicon Valley’s Figure has taken the wraps off of its next-generation Figure 02 conversational humanoid robot that taps into NVIDIA Omniverse and NVIDIA GPUs for fully autonomous tasks. Figure said it recently tested Figure 02 for data collection and use-case training at BMW Group’s Spartanburg, South Carolina, production line. Figure 02 comes just 10 months
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