Found in Robotics News & Content, with a score of 35.18
NVIDIA makes available a new kind of graphics processing unit-accelerated supercomputer in the cloud on Microsoft Azure. Built to handle demanding artificial intelligence (AI) and high-performance computing applications, the largest deployments of Azure’s new NDv2 instance rank among the world’s fastest supercomputers, offering up to 800 NVIDIA V100 Tensor Core GPUs interconnected on a single Mellanox InfiniBand backend network, NVIDIA reports. It enables customers for the first time to rent an entire AI supercomputer on demand from their desk, and match the capabilities of large-scale, on-premises supercomputers that can take months to deploy. “Until now, access to supercomputers for AI…
Found in Robotics News & Content, with a score of 34.55
…physics-based simulation tool, according to the company. It combines NVIDIA Isaac Sim, READY Robotics’ ForgeOS, and SCHUNK’s automation technologies. NVIDIA Isaac Sim is built on NVIDIA Omniverse and is a simulation platform used to develop, test, and deploy robotics applications using artificial intelligence. Its robust physics engine enables detailed, realistic simulations that closely emulate real-world conditions, said NVIDIA. The simulation will be based on physics-based technical product data from automation technologies such as grippers, said SCHUNK. This will allow for “true virtual commissioning of real-world automation projects,” it said. Simulating process automation with physics-based calculations will result in more accurate…
Found in Robotics News & Content, with a score of 34.33
…help industrial automation address new challenges. Siemens AG and NVIDIA Corp. today announced the expansion of their partnership and plans to first connect the Siemens Xcelerator open digital business platform with the NVIDIA Omniverse platform for 3D design and collaboration. The companies said their collaboration will “enable an industrial metaverse with physics-based digital models from Siemens and real-time AI from NVIDIA in which companies make decisions faster and with increased confidence.” “Siemens and NVIDIA share a common vision that the industrial metaverse will drive digital transformation,” stated Jensen Huang, founder and CEO of NVIDIA. “This is just the first step…
Found in Robotics News & Content, with a score of 34.02
…that do not have a lot of robotics experience. NVIDIA Corp. said that it and its partners will show the future of robotics in Munich. Many of the joint demonstrations will feature “easy-to-program and no-code robotics solutions that enable anyone to deploy robots in industrial settings,” the Santa Clara, Calif.-based company said. Wandelbots works with SHL, NVIDIA Omniverse Aldermaston, U.K.-based Silicon Highway (SHL) is an embedded computing distributor and an Elite member of the NVIDIA Partner Network. It is working with Dresden, Germany-based Wandelbots to demonstrate at Automatica how an industrial robot can communicate with its digital twin in NVIDIA…
Found in Robotics News & Content, with a score of 33.99
NVIDIA Corp. today said it will present more than a dozen robotics research papers at this year's IEEE International Conference on Robotics and Automation, or ICRA, which will be held in London from May 29 to June 2. The Institute of Electrical and Electronics Engineers (IEEE) will recognize one of the company's papers, titled “Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior,” with an IEEE Best Paper award at ICRA. Papers examine training robots in simulation to work in reality Many of this year’s submissions demonstrate robotics capabilities trained in simulation that were then shown to work…
Found in Robotics News & Content, with a score of 33.78
NVIDIA highlighted today one of its NVIDIA Metropolis members, Seoul Robotics. The company is using NVIDIA's technology to retroactively add self-driving features to non-autonomous vehicles without the need for additional sensors onboard. The Seoul, South Korea-based company’s platform, dubbed LV5 CTRL TWR, collects 3D data from the environment using cameras and lidar. Computer vision and deep learning-based AI analyze the data, determining the most efficient and safest paths for vehicles within the covered area. The system takes advantage of a vehicle’s V2X communication system, which comes standard in many modern cars and is used to improve road safety, traffic efficiency,…
Found in Robotics News & Content, with a score of 33.75
…much-loved film series. The edge AI Jedi used an NVIDIA Jetson Orin Nano Developer Kit as the brain of the droid itself. The devkit enables the bot, which is a little less than four feet tall and has a simple webcam for eyes, to identify and move its head toward objects. Vuksic — originally from Croatia and now based in Malmö, Sweden — recently traveled with the pit droid across Belgium and the Netherlands to several tech conferences. He presented to hundreds of people on computer vision and AI, using the droid as an engaging real-world demo. A self-described Star…
Found in Robotics News & Content, with a score of 33.70
Eureka! NVIDIA Corp. today said it has developed a new artificial intellience agent that can teach robots complex skills. The Santa Clara, Calif.-based company said that Eureka has trained a robotic hand to perform rapid pen-spinning tricks as fast as a human can. The prestidigitation, shown in the video above, is one of nearly 30 tasks that Eureka has taught robots by autonomously writing reward algorithms. Eureka has also taught robots to open drawers and cabinets, toss and catch balls, and manipulate scissors, among other tasks. NVIDIA Research today published the Eureka library of AI algorithms, so people can experiment…
Found in Robotics News & Content, with a score of 33.42
NVIDIA Corp. this week announced that the NVIDIA Jetson Orin NX 16 GB module is now available for purchase worldwide. The Santa Clara, Calif.-based company said it is “building on the momentum from last year’s expansion of NVIDIA Jetson edge AI devices.” “The Jetson Orin NX 16 GB module is unmatched in performance and efficiency for small form factor, low-power robots, and autonomous machines,” wrote Jason Black, a senior manager of marketing and communications for autonomous machines at NVIDIA, in a blog post. “This makes it ideal for use in products like drones and handheld devices,” he said. “The module…
Found in Robotics News & Content, with a score of 33.37
…artificial intelligence solutions company, today announced it has joined NVIDIA’s Metropolis partner program. The program is designed to nurture and bring to market a new generation of applications and advancements for AI vision, according to Seoul Robotics. Seoul Robotics already uses NVIDA’s technology The Seoul, South Korea-based company relies on the NVIDIA Jetson edge AI platform to enable edge computing for SENSR’s deep learning algorithms. “Our perception system is built from the ground up to utilize NVIDIA GPU technologies,” said Jerone Floor, vice president of product at Seoul Robotics. “As we expose more customers to this technology, the demand for…
Found in Robotics News & Content, with a score of 33.27
READY Robotics is collaborating with Toyota Motor Corporation and NVIDIA to bring a leap forward in industrial robotics. Toyota will employ READY ForgeOS in tandem with NVIDIA Isaac Sim, a robotics simulator developed on NVIDIA Omniverse, to build a simulated robotic programming environment for its aluminum hot forging production lines. This collaboration is set to enhance safety and efficiency in Toyota’s manufacturing processes. Typically, programming robotic systems for forging necessitates that the metal parts remain hot during programming, presenting significant safety challenges. With the integration of ForgeOS and NVIDIA Isaac Sim - an extensible application developed on the Omniverse platform…
Found in Robotics News & Content, with a score of 33.13
…India, is powering his autonomous wheelchair project using the NVIDIA Jetson platform for edge AI and robotics. The autonomous motorized wheelchair is connected to depth and lidar sensors—along with USB cameras—which allow it to perceive the environment and plan an obstacle-free path toward a user’s desired destination. “A person using the motorized wheelchair could provide the location they need to move to, which would already be programmed in the autonomous navigation system or path-planned with assigned numerical values,” KB said. “For example, they could press ‘1’ for the kitchen or ‘2’ for the bedroom, and the autonomous wheelchair will take…