NVIDIA and Partners Unveil Advanced AI and Robotics Solutions at Automate 2025, Driving Industrial Automation Forward

NVIDIA and its partners are prominently featured at Automate 2025, the largest robotics and automation event in North America, where they are showcasing cutting-edge solutions to address the manufacturing industry's challenges, including labor shortages, reshoring, and inconsistent operational strategies. The event emphasizes the role of AI-powered robots and advanced computing platforms in accelerating industrial automation and optimizing production lines. Deepu Talla, vice president of robotics and edge AI at NVIDIA, delivered a keynote addressing the transformation in the manufacturing industry driven by industrial automation and AI. NVIDIA's three-computer architecture, comprising robot training, simulation, and accelerated runtime, is at the forefront of this shift, enabling software-defined autonomous facilities. This architecture leverages the NVIDIA Isaac and Omniverse platforms, which play crucial roles in training and deploying robots efficiently. Synthetic Data Generation Blueprint One of the key challenges in developing embodied AI systems, which integrate AI into physical systems, is the need for extensive real-world data. Traditionally, this process has been complex and resource-intensive, with each robot requiring its own custom dataset due to differences in hardware, sensors, and environments. NVIDIA has introduced the Isaac Lab 2.1 open-source robot learning framework, which includes the Isaac GR00T Blueprint for synthetic motion generation. Built on Omniverse and NVIDIA Cosmos world foundation models, this blueprint simplifies and accelerates the creation of vast amounts of synthetic data, making it easier and faster to train robots for various tasks, such as manipulation and humanoid movements. Partners Showcase Advanced Solutions Universal Robots (UR): UR introduced the UR15, its fastest collaborative robot yet, designed with improved cycle times and advanced motion control. The company's AI Accelerator, developed using NVIDIA Isaac's CUDA-accelerated libraries and AI models, runs on NVIDIA Jetson AGX Orin, allowing manufacturers to build AI applications that enhance the intelligence of their cobots. Vention: Vention unveiled MachineMotion AI, an automation controller that unifies motion, sensing, vision, and AI. This system, powered by NVIDIA Jetson for embedded computing and Isaac's CUDA-accelerated libraries, supports compute-intensive AI tasks like real-time vision processing, bin-picking, and autonomous decision-making, demonstrating the practical benefits of AI on the manufacturing floor. Standard Bots: Standard Bots launched a new manipulator capable of handling a 30kg payload and reaching 2 meters. This robot can perform heavy-duty tasks in the automotive, aerospace, and logistics industries. Using NVIDIA Isaac Sim, a reference application built on Omniverse, developers can teach robots new tasks through demonstrations, reducing the need for traditional coding. Standard Bots also introduced teleoperation capabilities via tablet devices, which help efficiently collect training data. KUKA: KUKA unveiled the KR C5 Micro-2, a compact robot controller integrated with an NVIDIA Jetson extension to support AI-ready applications. This integration will improve AI vision and control tasks in future KUKA robots, leveraging NVIDIA's software stack for enhanced performance and flexibility. AI Agents in Factories and Warehouses Beyond just robots, manufacturers are increasingly adopting AI agents capable of analyzing video data in real-time to optimize processes and enhance worker safety. NVIDIA's AI Blueprint for video search and summarization (VSS), part of the Metropolis platform, combines generative AI, large language models, vision language models, and media management services to deploy these visual AI agents. The blueprint helps eliminate manual monitoring and speeds up data processing, enabling businesses to make data-driven decisions. Developers can test the AI Blueprint for VSS in the cloud using NVIDIA Launchable. Several industry leaders are using the VSS blueprint to enhance their operations: Siemens: Siemens is showcasing its Industrial Copilot for Operations, a generative AI-powered assistant that optimizes workflows and improves collaboration between humans and AI. Shop floor operators, maintenance engineers, and service technicians benefit from quicker machine instructions and guidance, thanks to the copilot's use of NVIDIA accelerated computing and microservices. Connect Tech: This edge computing company is using the VSS blueprint to analyze drone footage in real-time, running on NVIDIA Jetson edge devices. The solution enables real-time Q&A and zero-shot detection of hazards such as fires or flooding, crucial for monitoring remote areas. DeepHow: DeepHow is employing the VSS blueprint to create smart videos that capture and convert key workflows into structured training content, enhancing the efficiency of shop floor operators. InOrbit.AI: InOrbit.AI's latest improvements in InOrbit Space Intelligence leverage physical AI, computer vision, and the VSS blueprint to analyze robot operations and optimize workflows, providing deeper insights into real-world production processes. KoiReader Technologies: This company uses the VSS blueprint to provide true real-time operational intelligence, enabling quick responses to events in supply chain and manufacturing environments. Industry Insights and Company Profiles Industry insiders are highly optimistic about the impact of NVIDIA's technologies on the manufacturing sector. The synthetic data generation blueprint and the AI Blueprint for VSS are seen as game-changers, significantly reducing development time and costs while improving the accuracy and adaptability of AI-powered robots and agents. NVIDIA's partnerships with leading robotics companies like KUKA, Universal Robots, and Vention highlight its commitment to fostering a robust ecosystem for industrial automation. These collaborations not only advance the state of the art in robotics but also facilitate the widespread adoption of AI solutions in diverse manufacturing settings. NVIDIA's comprehensive approach to robotics and industrial AI, combining advanced computing, simulation, and real-time data processing, positions it as a pivotal player in the automation industry. The event at Automate 2025 underscores the company's leadership and the growing trend toward AI-driven manufacturing, promising more efficient, flexible, and safer industrial workplaces.