Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
ABB Robotics Taps NVIDIA Omniverse to Deliver Industrial‑Grade Physical AI at Scale
ABB Robotics and NVIDIA have formed a groundbreaking partnership aimed at revolutionizing manufacturing through the integration of advanced artificial intelligence. Announced today, this collaboration will incorporate NVIDIA's Omniverse libraries into ABB's RobotStudio programming and simulation suite, enhancing the capabilities of industrial robots. This integration is designed to facilitate the deployment of industrial-grade AI on factory floors, allowing for more efficient and intelligent automation processes. By leveraging NVIDIA's cutting-edge technology, ABB aims to improve operational efficiency and productivity in manufacturing environments. The partnership signifies a significant step towards the future of smart factories, where AI-driven robotics can adapt and respond to complex manufacturing challenges in real-time.
Into the Omniverse: NVIDIA GTC Showcases Virtual Worlds Powering the Physical AI Era
NVIDIA recently hosted its GTC event, where the company highlighted advancements in OpenUSD and NVIDIA Omniverse, aimed at transforming workflows for developers, 3D practitioners, and enterprises. The event, which took place last week, served as a platform for showcasing innovative tools and technologies that enhance collaboration and efficiency in 3D content creation. By leveraging OpenUSD, NVIDIA aims to streamline the integration of various assets and improve interoperability across different applications. The focus on these developments reflects the growing demand for more sophisticated and flexible solutions in the digital content creation industry, as professionals seek to optimize their processes and enhance productivity. Through demonstrations and discussions, NVIDIA illustrated how these advancements can significantly impact the way creators work, ultimately driving the future of 3D design and collaboration.
NVIDIA Releases Vera Rubin DSX AI Factory Reference Design and Omniverse DSX Digital Twin Blueprint With Broad Industry Support
NVIDIA has unveiled the NVIDIA Vera Rubin DSX AI Factory reference design, aimed at providing a comprehensive framework for developing co-designed AI infrastructure. This announcement, made today, also includes the general availability of the NVIDIA Omniverse DSX Blueprint, which is fully compatible with the Vera Rubin DSX. The initiative is part of NVIDIA's ongoing efforts to enhance AI capabilities and streamline the integration of advanced technologies in various applications. By offering these resources, NVIDIA seeks to empower developers and organizations to build more efficient and effective AI systems, fostering innovation in the tech industry.
Into the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-Tuning
In a recent installment of the "Into the Omniverse" series, developers, 3D practitioners, and enterprises are exploring innovative ways to enhance their workflows through the latest advancements in OpenUSD and NVIDIA Omniverse. This initiative highlights the growing significance of Vision AI agents, which are increasingly being integrated into various industries to streamline processes and improve efficiency. The series aims to educate participants on how these technologies can be leveraged to transform traditional practices, ultimately fostering a more collaborative and productive environment. As organizations seek to adapt to the rapidly evolving digital landscape, the insights shared in this series are crucial for staying competitive and maximizing the potential of emerging technologies.
Schaeffler Explores AI-Driven Factories and Humanoid Co-Workers with Accenture, NVIDIA, Microsoft
Schaeffler has announced a strategic partnership with Accenture, NVIDIA, and Microsoft to enhance future factory operations through the implementation of digital twins on the NVIDIA Omniverse platform. This collaboration aims to simulate a range of automation scenarios, incorporating advanced humanoid robots such as Agility's Digit and Sanctuary AI's Phoenix. By utilizing Microsoft Fabric for data analysis, the partners seek to effectively connect virtual testing environments with real-world performance metrics. This initiative reflects a growing trend in the manufacturing sector to leverage cutting-edge technology for improved efficiency and innovation in production processes.
phoenix NVIDIA Microsoft HM25 Schaeffler Digit
Fujitsu Collaborates with Fanuc, Yaskawa, and Kawasaki to Enhance Physical AI with Nvidia
Fujitsu has initiated a partnership with Japanese robotics firms Fanuc, Yaskawa Electric, and Kawasaki Heavy Industries to advance the development and deployment of physical AI in sectors such as manufacturing, logistics, and healthcare. This collaboration will leverage Nvidia's physical AI technologies to create a collaborative control platform that connects digital systems with robots and physical equipment. The initiative aims to accelerate the adoption of physical AI, addressing challenges like labor shortages and an aging workforce while enhancing global competitiveness. The platform will optimize production planning in manufacturing, automate material handling in logistics, and improve healthcare operations by automating the transport of medical supplies and assisting with patient interactions. Fujitsu plans to develop an open collaborative control platform that integrates AI, robotics, and data analysis technologies, ensuring interoperability and addressing cybersecurity concerns. No further timeline was disclosed at the time of publication.
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Toyota and Nvidia Enhance Collaboration to Advance AI in Vehicles, Manufacturing, and Urban Infrastructure
Toyota and Nvidia have broadened their partnership to develop physical AI technologies that encompass next-generation vehicles, manufacturing, robotics, and urban infrastructure. This collaboration builds on a previous agreement, focusing on advanced driver-assistance systems using Nvidia's DRIVE AGX platform and DriveOS operating system. The significance of this partnership lies in its potential to revolutionize mobility and manufacturing. Rishi Dhall, Nvidia's vice president of automotive, emphasized that physical AI will enhance the intelligence of various machines, making vehicles more autonomous and urban environments safer and more responsive. Toyota aims to implement Level 2++ functionality in its future vehicles while leveraging Nvidia AI models for efficient software engineering. Additionally, Toyota is integrating AI into its manufacturing processes through factory simulations using Nvidia's Omniverse and Isaac Sim frameworks. The partnership also extends to urban mobility technologies via Woven by Toyota, which is developing models to analyze traffic conditions. No further timeline was disclosed at the time of publication.
Computing News advanced driver assistance systems ai automotive AI digital twins
NVIDIA's CEO Jensen Huang Announces Expansion of Physical AI Collaboration in Japan
On July 16, NVIDIA CEO Jensen Huang announced an expansion of collaboration with Japanese companies in the field of 'physical AI' during an event in Tokyo. This initiative marks a strategic move to integrate NVIDIA's technology into Japan's manufacturing sector, particularly through a partnership with Toyota to develop AI models for the Woven City traffic control system. The collaboration with Toyota is central to NVIDIA's strategy, as the company will provide GPUs and development tools to Toyota's subsidiary, Woven by Toyota. This partnership aims to embed NVIDIA's technology into the city's digital twin platform, Omniverse, enhancing factory production and driving manufacturing robots with the Isaac platform. Additionally, Huang revealed plans to deepen cooperation with major Japanese industrial automation firms, including Fujitsu, Fanuc, Yaskawa Electric, and Kawasaki Heavy Industries, as part of the Cosmos Coalition. This initiative aims to strengthen Japan's position in the global AI robotics market, with a government goal of achieving a 30% market share by 2040. No further timeline was disclosed at the time of publication.
Physical AI Robotics Industrial Automation AI Technology
Nvidia launches AI factory manager blueprint for autonomous manufacturing
Nvidia has introduced a groundbreaking software blueprint aimed at revolutionizing factory operations through a centralized AI system. The Nvidia Factory Operations Blueprint (FOX), announced at GTC Taipei during Computex, serves as a reference design for manufacturers seeking to develop an autonomous factory manager agent. This innovative system is designed to monitor, coordinate, and optimize factory processes in real time, enhancing efficiency and productivity. By leveraging advanced AI capabilities, Nvidia aims to empower manufacturers to streamline their operations and adapt to the rapidly evolving industrial landscape.
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NVIDIA and DeepMind Lead Robotics Simulation Debate with New Industrial Applications
The field of embodied intelligence is witnessing a fierce debate over the best approach to training robots for industrial applications. One faction advocates for simulation-based training, leveraging structured environments to generate synthetic data, while the opposing view emphasizes the necessity of real-world data to handle complex physical interactions and unpredictable scenarios. Key players include NVIDIA, DeepMind, and Intrinsic, each with unique strategies and technologies. NVIDIA's Omniverse platform and Isaac Sim engine exemplify the simulation approach, enabling comprehensive digital twins of factories for training and optimization. Their collaboration with BMW on a digital twin project in Hungary showcases the potential of synthetic data in logistics and robotic movements. However, challenges remain in achieving the necessary fidelity for force control and physical interactions, prompting NVIDIA to seek partnerships with companies like Hexagon Robotics. Conversely, DeepMind's use of the MuJoCo physics engine has demonstrated that pure simulation can achieve industrial-grade precision in specific tasks, such as sorting with known rigid models. Yet, this method's effectiveness is limited to scenarios with minimal contact and force control. Intrinsic aims to transform simulation into a comprehensive development tool for industrial robots, focusing on lowering barriers for small manufacturers. The ongoing challenge of the SIM2REAL gap remains a critical factor in the success of these approaches.
Robotics Industrial Automation Simulation Technology AI
NVIDIA and Global Industrial Software Giants Bring Design, Engineering and Manufacturing Into the AI Era
NVIDIA has partnered with leading global industrial software companies, including Cadence, Dassault Systèmes, PTC, Siemens, and Synopsys, to enhance industrial software and tools through its CUDA-X™ and Omniverse™ platforms. This collaboration aims to integrate GPU-accelerated technologies into the operations of major manufacturers such as FANUC and HD Hyundai. The initiative, announced today, seeks to drive innovation and efficiency in industrial processes by leveraging advanced computing capabilities. By combining NVIDIA's cutting-edge technology with the expertise of these software leaders, the partnership is set to transform the landscape of industrial automation and design, ultimately improving productivity and performance across various sectors.
Into the Omniverse: Physical AI Open Models and Frameworks Advance Robots and Autonomous Systems
NVIDIA is playing a pivotal role in advancing innovation in robotics and autonomy through open-source initiatives. By offering access to vital infrastructure, including simulation frameworks and artificial intelligence models, the company is fostering collaborative development among researchers and developers. This approach aims to expedite advancements in the field, ultimately enhancing the capabilities of robotic systems and autonomous technologies. The emphasis on open-source resources is designed to break down barriers to entry, allowing a wider range of contributors to participate in the evolution of these cutting-edge technologies. As a result, NVIDIA is not only positioning itself as a leader in the industry but also promoting a more inclusive and accelerated development environment for robotics and autonomy.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
