Tony Kim
May 13, 2025 14:06
NVIDIA has a partner relationship with Robotics leader, showing the state -of -the -art AI technology of Automate in 2025, improving industrial automation and solving manufacturing problems.
The manufacturing sector appears as a pivotal solution for AI -based robots to develop industrial automation due to lack of labor force, re -adjustment and inconsistent operation strategy. It was the central theme of AUTOMATE 2025, North America’s largest robot and automation event, which NVIDIA and their partners unveiled groundbreaking AI technology.
NVIDIA’s strategic cooperation
Robot engineering leaders such as KUKA, Standard Bots, Universal Robots and Vision are revolutionizing the manufacturing process by using NVIDIA’s accelerated computing, omniveerse and ISAAC platforms. According to NVIDIA’s blogs, these collaboration aims to automate and optimize production lines worldwide.
Deepu Talla, vice president of NVIDIA’s Robotics and Edge AI, emphasized the deformation of AI and industrial automation. He emphasized the three computer architecture of NVIDIA that facilitates robot training, simulation and accelerated runtime, giving the robot ecosystem to be converted into software -defined autonomous facilities.
Innovation of synthetic data and robotics
To implement AI systems that integrate AI into physical systems, traditionally extensive real data for education is required. NVIDIA’s synthetic data solution provides a strong alternative. NVIDIA unveils ISAAC LAB 2.1, the latest version of Open-Source Robot Learning Framework in Automate to accelerate the robot education process using ISAAC GR00TTBLUEPRINT. Based on the NVIDIA Omniverse, this framework simplifies the creation of synthetic data to quickly provide robot training for various tasks.
Industrial AI development
UNIVERSAL ROBOTS introduced UR15, the fastest collaboration robot, to improve performance using NVIDIA’s AI accelerator. Vision announced Machinemotion AI, an automated controller that utilizes NVIDIA Jetson for computing -intensive tasks such as real -time vision processing. Standard BOTS unveiled a 30kg payment robot that allows you to perform serious tasks, while KUKA introduced the KR C5 Micro-2, an integrated robot controller with NVIDIA Jetson for AI-ready applications.
AI agent manufacturing conversion
AI blueprints for video search and summary (VSS) of NVIDIA, which are part of the NVIDIA MetroPolis platform, distribute an AI agent to optimize processes such as visual inspection and assembly to improve worker safety. Industry leaders like Siemens and Connect Tech utilize this blueprint to enable advanced video analysis and computer vision functions in the manufacturing environment.
In Automate, Siemens introduced Operations for Operations, a generated AI -based assistant that optimizes workflow, and Connect Tech showed real -time risk detection using drone images analyzed by the NVIDIA Jetson Edge device.
As AI continues to reconstruct industrial automation, NVIDIA’s Automate 2025 contributions emphasizes the central role of the company that leads the technology development of robotics and manufacturing.
For more insights, visit the NVIDIA blog.
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