Found in Robotics News & Content, with a score of 33.21
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 32.93
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 32.88
…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 32.78
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 32.64
…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…
Found in Robotics News & Content, with a score of 32.45
…Material Flow and Logistics, or Fraunhofer IML, are using NVIDIA Omniverse for applied research in logistics for fulfillment and manufacturing. They are also using NVIDIA Isaac Sim for simulation in robot design. Fraunhofer IML's goal is to ease the transition from automated guided vehicles (AGVs) to faster-moving autonomous mobile robots (AMRs). This advancement in automation promises to significantly accelerate logistics, said the Dortmund, Germany-based institute. “We’re heading the research aspects for AMRs, and we’re looking at how we can go as fast and as safely as possible in logistics scenarios,” said Julian Eẞer, a robotics and artificial intelligence researcher at…
Found in Robotics News & Content, with a score of 32.35
Tokyo-based startup Telexistence this week announced it will deploy NVIDIA AI-powered robots to restock shelves at hundreds of FamilyMart convenience stores in Japan. There are 56,000 convenience stores in Japan — the third-highest density worldwide. Around 16,000 of them are run by FamilyMart, according to NVIDIA. Telexistence aims to save time for these stores by offloading repetitive tasks like refilling shelves of beverages to a robot, allowing retail staff to tackle more complex tasks like interacting with customers. Telexistence’s robots run on the NVIDIA Jetson edge AI and robotics platform, NVIDIA said. “We want to deploy robots to industries that…
Found in Robotics News & Content, with a score of 31.94
…approach is ushering in the next phase of automation. NVIDIA founder and CEO Jensen Huang demonstrated at Monday’s GTC 2024 keynote how developers can use digital twins to develop, test and refine their large-scale, real-time AIs entirely in simulation before rolling them out in industrial infrastructure, saving significant time and cost. NVIDIA Omniverse, Metropolis, Isaac and cuOpt interact in AI gyms where developers can train AI agents to help robots and humans navigate unpredictable or complex events. An AI Gym for Industrial Digitalization In the demo, a digital twin of a 100,000-square-foot warehouse - built using the NVIDIA Omniverse platform…
Found in Robotics News & Content, with a score of 31.06
…competition from mobile devices, tablets, and virtualization, leading chipmakers—Intel, NVIDIA, and AMD—are looking at the emerging HPC markets to replenish their lost grounds. One area of growth in HPC is the use of AI (artificial intelligence) or machine learning, especially in autonomous vehicle development. The amount of processing power such applications demands, translates to new sales for processor vendors such as Intel, NVIDIA, and AMD. “Our acquisition of Xilinx marks the next leg in our journey to establish AMD as the industry’s high performance computing leader and partner of choice for the largest and most important technology companies in the…
Found in Robotics News & Content, with a score of 30.93
Teradyne Robotics recently announced a collaboration with NVIDIA to bring new AI capabilities to automation applications. Teradyne is the parent company of collaborative robot arm provider Universal Robots (UR) and autonomous mobile robot (AMR) provider Mobile Industrial Robots (MiR). Last week, UR demonstrated an autonomous inspection system powered by NVIDIA Isaac cuMotion path planning at the GTC global AI conference in San Jose, California. MiR recently launched its new MiR1200 autonomous pallet jack, which harnesses AI pallet detection powered by the NVIDIA Jetson AGX Orin module. The MiR1200 Pallet Jack and UR’s cuMotion demo are Teradyne’s two most recent examples…
Found in Robotics News & Content, with a score of 30.74
…AI computing appliance, MOV.AI's Robotics Engine Platform, and the NVIDIA Isaac robotics platform. The integration will give AMR manufacturers and integrators a robust platform to speed up development, improve operational efficiency, and optimize robot performance, they said. “Our expertise in creating NVIDIA-optimized edge computing servers, combined with MOV.AI's state-of-the-art AMR software powered by NVIDIA edge AI and robotics technologies, provides an off-the-shelf platform to build enterprise-grade autonomous robots for today's challenging industrial environments,” said Jeans Tseng, chief technology officer of Lanner Electronics. “We are confident that our AMR platform will enable service providers and manufacturers to quickly deploy the top-performing…
Found in Robotics News & Content, with a score of 30.42
…and deep learning in the most demanding applications, said NVIDIA Corp. The company said its new NVIDIA Jetson AGX Xavier Industrial module makes it possible to deploy AI at the edge in harsh environments where safety and reliability are critical priorities. Designed for reliability, safety, and security NVIDIA said Jetson AGX Xavier Industrial combines the supercomputing capabilities of the Jetson AGX Xavier system-on-module with new reliability, availability, and serviceability features. These include error correction codes, single error correction, double error detection and parity protection to deliver internal RAM resilience, address and data bus error detection and correction, and IP resiliency…