Found in Robotics News & Content, with a score of 6.86
March 21, 2023
…for conversational AI. Developers can save time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and with the TAO Toolkit for fine-tuning pretrained AI models from the NGC catalog, said NVIDIA. Here are results from running some computer vision benchmarks with Jetson Orin Nano using the latest NVIDIA JetPack 5.1.1. These results show that the developer kit raises the bar for entry-level computer vision. Results from benchmark testing with pretrained models comparing the Jetson Nano to the Jetson Orin Nano 8 GB. Click on image to enlarge. Source: NVIDIA Testing included some dense INT8 and FP16 pretrained models from…
Found in Robotics News & Content, with a score of 16.00
March 14, 2023
…give some examples of how developers are using NVIDIA Omniverse and the Isaac robotics platform in creative ways? Andrews: The end-to-end Isaac robotics platform provides advanced AI and simulation software and accelerated computing capabilities—with corresponding hardware from the Jetson family—to the entire robotics ecosystem. More than 1,000 companies rely on one or many parts of NVIDIA Isaac, including companies that deploy physical robots developed and tested in the virtual world using Isaac Sim on Omniverse. Public examples of Isaac Sim users include: Amazon Robotics uses NVIDIA Omniverse Enterprise and Isaac Sim to simulate warehouse design, train robots with synthetic data…
Found in Robotics News & Content, with a score of 25.19
January 19, 2023
…and other foods can be a tricky challenge. With Omniverse and Isaac Sim, Soft Robotics can create 3D renderings of chicken parts with different backgrounds, like on conveyor belts or in bins, and with different lighting scenarios. The company taps into Isaac Replicator to develop synthetic data, generating hundreds of thousands of images per model and distributing that among an array of instances in the cloud. Isaac Replicator is a set of tools, APIs, and workflows for generating synthetic data using Isaac Sim. It also runs pose-estimation models to help its gripping system see the angle of the item to…
Found in Robotics News & Content, with a score of 19.50
January 03, 2023
…for manufacturing and logistics robotics use cases.” The NVIDIA Omniverse application enables developers to import robot models and build realistic environments to validate both physical designs and software stacks for performance. Isaac Sim can also generate synthetic datasets to train the AI models for robotic perception. Developers can then use Isaac Sim's reinforcement learning API to train models in a robot's control stack, said NVIDIA during its special address at CES. Isaac Sim now supports simulations of people using obstacle avoidance and with common behaviors such as pushing carts. Source: NVIDIA Adding people to realistic simulations As more people work…
Found in Robotics News & Content, with a score of 9.03
September 20, 2022
…NVIDIA. “It'll soon be available in the new NVIDIA Omniverse Cloud platform, a suite of services that enables developers to design and use metaverse applications from anywhere,” wrote Gerard Andrews, senior product marketing manager for robotics at NVIDIA. “It’s available now on AWS RoboMaker, a cloud-based simulation service for robotics development and testing,” he said. “And, developers can download it from NVIDIA NGC and deploy it to any public cloud.” Using Isaac Sim in the cloud, roboticists will be able to generate large datasets from physically accurate sensor simulations to train artificial intelligence-based perception models, said NVIDIA. The synthetic data…
Found in Robotics News & Content, with a score of 30.56
August 31, 2022
…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 Fraunhofer…
Found in Robotics News & Content, with a score of 36.95
August 09, 2022
…of developer frameworks, tools, apps, and plugins for NVIDIA Omniverse, the platform for building and connecting metaverse worlds based on Universal Scene Description (USD). The Santa Clara, Calif.-based company said the expansion of Omniverse includes several AI-powered tools and features that deliver artists, developers, and engineers the power to build virtual worlds and content easier than ever, and better connect to today’s leading 3D applications including PTC Creo, SideFX Houdini, Unity, and solutions from the Siemens Xcelerator platform. A ‘multitrillion-dollar opportunity’ Omniverse, a multi-GPU scalable computing platform for building virtual worlds, is already in use by some 700 leading companies…
Found in Robotics News & Content, with a score of 22.84
July 29, 2022
…Calif.-based company introduced a structured domain randomization system within Omniverse Replicator that can help developers train and refine their models with synthetic data. Omniverse Replicator is a software development kit (SDK) built on the NVIDIA Omniverse platform that enables developers to build custom tools and workflows, said deep learning solutions architect Kshitiz Gupta and solutions architect Nyla Worker. “The NVIDIA Isaac Sim development team leveraged Omniverse Replicator SDK to build Isaac Replicator, a robotics-specific synthetic data-generation toolkit, exposed within the Isaac Sim app,” they wrote in a blog post. “As roboticists leverage AI to create better perception stacks for their…
Found in Robotics News & Content, with a score of 36.67
June 29, 2022
…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 in our joint effort to make this vision real for our customers and all parts of the global manufacturing industry.” “The connection to Siemens…
Found in Robotics News & Content, with a score of 19.53
June 17, 2022
…NVIDIA works to close 'reality gap' With its NVIDIA Omniverse applications, the Santa Clara, Calif.-based company has focused on ever more realistic simulation and digital twins to accelerate artificial intelligence for robots. “This follows our strategy for end-to-end robotics,” Andrews told Robotics 24/7. “We segment the intersection of robotics and AI into four phases of development: No. 1, train with Isaac Replicator and synthetic datasets. No. 2, simulate with digital twins, which are the focus of today's release.” “No. 3, build using Jetson Orin, Isaac ROS, SDKs [software development kits], and conversational AI, and No. 4, deploy and manage using…
Found in Robotics News & Content, with a score of 14.97
June 16, 2022
…will support READY’s global expansion and speed up the integration and deployment of the READY Robotics Forge/OS with NVIDIA Omniverse Isaac Sim, the companies said.
Found in Robotics News & Content, with a score of 33.61
June 08, 2022
…strategic investment from NVIDIA plus plans to integrate NVIDIA’s Omniverse Isaac Sim into READY Robotics’ Forge/OS. The Columbus, Ohio-based company said NVIDIA’s investment allows it to improve its core Forge/OS 5 platform as well as to support a growing ecosystem of partners and developers. READY Robotics added that it provides a foundation that enables software developers to meet their demands. By enabling integration with processing at the edge, these systems can offer increased efficiency without compromising on privacy, latency, or data security, the company argued. “Manufacturing has been held back for decades by software silos between robot vendors,” said Ben…
