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NVIDIA Revolutionizes Industrial Automation with Cutting-Edge Robotics and AI Solutions


NVIDIA has showcased its latest innovations at Automate 2025, including synthetic data generation and AI-powered robotics solutions, all powered by NVIDIA's accelerated computing, Omniverse, and Isaac platforms. This technology is set to transform industrial automation and enable manufacturers to optimize their production lines.

  • NVIDIA showcased its latest innovations in artificial intelligence and robotics at Automate 2025.
  • The event brought together industry leaders to demonstrate production-ready solutions for industrial automation, powered by NVIDIA's accelerated computing, Omniverse, and Isaac platforms.
  • Integration of AI and robotics in industrial settings is changing how warehouses and factories operate worldwide.
  • NVIDIA developed synthetic data for robot training using the NVIDIA Isaac Lab 2.1 framework.
  • The technology enables faster and easier training of robots for various tasks, with applications in heavy-duty tooling and logistics industries.
  • Other industry leaders showcased their own innovations, including collaborative robots, automation controllers, and real-time vision processing systems.



  • NVIDIA has once again solidified its position as a leader in the field of artificial intelligence and robotics, showcasing its latest innovations at Automate 2025, the largest robotics and automation event in North America. This year's event has brought together industry leaders such as KUKA, Siemens, Standard Robots, Universal Robots, and Vention to demonstrate their production-ready solutions for industrial automation, all powered by NVIDIA's accelerated computing, Omniverse, and Isaac platforms.

    At the heart of this technological revolution is the integration of AI and robotics in industrial settings. As the manufacturing industry faces significant challenges, including labor shortages, reshoring, and inconsistent operational strategies, AI-powered robots are increasingly changing how warehouses and factories operate worldwide. According to Deepu Talla, vice president of robotics and edge AI at NVIDIA, "The manufacturing industry is experiencing a fundamental shift, with industrial automation and AI-powered robots increasingly changing how warehouses and factories operate worldwide."

    One area where NVIDIA is making significant strides is in the development of synthetic data for robot training. Each robot typically needs its own custom dataset due to differences in hardware, sensors, and environments, but traditional data generation methods are complex and resource-intensive. To address this challenge, NVIDIA Isaac Lab 2.1, a new version of the open-source robot learning framework, has been announced at Automate. This software provides developers with tools to accelerate the robot training process using the NVIDIA Isaac GR00T Blueprint for synthetic motion generation, built on NVIDIA Omniverse and Cosmos world foundation models.

    This blueprint offers a reference workflow for creating vast amounts of synthetic and robot manipulation data, making it easier and faster to train robots for various tasks. This technology has already been showcased by Standard Bots, a robotics developer, which unveiled its manipulator, a 30kg-payload, 2m-reach robot that can be used for heavy-duty tooling and moving large objects in the automotive, aerospace, and logistics industries. With NVIDIA Isaac Sim, a reference application built on Omniverse, robots can be taught tasks through demonstrations, eliminating the need for traditional coding or programming to free up developers for higher-value tasks.

    Standard Bots also announced teleoperation capabilities via a tablet device, which can efficiently collect training data. Additionally, the company has developed a synthetic manipulation motion generation blueprint that enables real-world robot demonstration and validation. This technology is being further showcased by other industry leaders, such as Universal Robots (UR), KUKA, and Vention.

    Universal Robots introduced UR15, its fastest collaborative robot yet, featuring improved cycle times and advanced motion control. Using UR's AI Accelerator, developed on the NVIDIA Isaac platform's CUDA-accelerated libraries and AI models, and NVIDIA Jetson AGX Orin, manufacturers can build AI applications to embody intelligence into cobots. Vention announced MachineMotion AI, an automation controller designed to unify motion, sensing, vision, and AI. The system taps into the NVIDIA Jetson platform for embedded computing and NVIDIA Isaac's CUDA-accelerated libraries and models, enabling compute-intensive AI tasks such as real-time vision processing, bin-picking, and autonomous decision-making.

    InOrbit.AI showcased its latest improvements in InOrbit Space Intelligence, which harnesses physical AI, computer vision, and the VSS blueprint to analyze robot operations and optimize real-world workflows. Connect Tech analyzed drone footage with the VSS blueprint running on NVIDIA Jetson edge devices to enable real-time Q&A and zero-shot detections for hazards like fires or flooding in remote areas. DeepHow created smart videos that capture key workflows and convert them into structured training content, improving shop floor operator efficiency.

    Furthermore, Siemens showcased its Industrial Copilot for Operations, a generative AI-powered assistant that optimizes workflows and enhances collaboration between humans and AI. The copilot uses NVIDIA accelerated computing and NVIDIA NIM and NeMo Retriever microservices from the VSS blueprint to add multimodal capabilities. KoiReader Technologies used the blueprint to enable true real-time operational intelligence from events occurring in supply chain and manufacturing environments.

    NVIDIA's participation in Automate 2025 demonstrates its commitment to empowering manufacturers everywhere with autonomous production lines and optimizing their workflows. With cutting-edge solutions such as the VSS blueprint, AI-powered robots are set to revolutionize industrial automation in the years to come.



    Related Information:
  • https://www.digitaleventhorizon.com/articles/NVIDIA-Revolutionizes-Industrial-Automation-with-Cutting-Edge-Robotics-and-AI-Solutions-deh.shtml

  • https://blogs.nvidia.com/blog/robotics-industrial-ai-automate/

  • https://blogs.nvidia.com/blog/robotics-showcase-irex-2023/


  • Published: Tue May 13 10:38:25 2025 by llama3.2 3B Q4_K_M











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