NVIDIA Partners with Doosan Group to Enhance Physical AI and Factory Tech

NewsNVIDIA Partners with Doosan Group to Enhance Physical AI and Factory Tech

NVIDIA and Doosan Group Expand Collaboration in AI and Robotics

NVIDIA has announced an expanded partnership with Doosan Group to enhance opportunities in physical AI, robotics, and AI factory infrastructure. This collaboration aims to leverage NVIDIA’s advanced computing platforms alongside Doosan’s expertise in industrial automation and power generation, creating a robust foundation for next-generation AI solutions.

The partnership encompasses various sectors within Doosan Group, including Doosan Robotics, Doosan Bobcat, Doosan Enerbility, and Doosan Corporation Electro-Materials BG. By integrating their respective technologies, the companies plan to advance the capabilities of industrial automation and AI infrastructure.

Advancing Physical AI and Robotics

Doosan Robotics is set to incorporate NVIDIA’s cutting-edge robotics frameworks such as NVIDIA Isaac Sim and NVIDIA Isaac Lab into its operations. These frameworks will be complemented by NVIDIA’s Cosmos open world foundation models, the Newton physics engine, and Jetson Thor technology. The goal is to enhance the Agentic Robot OS—a platform designed to integrate perception, reasoning, simulation, learning, and on-device inference.

This integration aims to enable industrial robots to better perceive their environments and make informed decisions in real time. By employing simulation-to-real workflows and advanced AI reasoning techniques, these robots will become more adaptable and specialized for specific tasks. The collaboration also includes developing reference use cases for high-value industrial applications like depalletizing and sanding, as well as designing new robot configurations such as dual-arm and humanoid platforms.

With these advancements, Doosan Robotics aspires to transition from merely providing robotic arms to offering comprehensive AI-driven robotic solutions. This initiative is part of a broader strategy within Doosan Group that emphasizes physical AI applications extending beyond robotics into sectors like construction machinery and power equipment.

Additionally, Doosan Bobcat plans to explore how NVIDIA’s physical AI technologies can be integrated into machinery used in construction, landscaping, agriculture, and material handling. This integration is expected to facilitate the creation of specialized world models that allow equipment to autonomously navigate diverse operational environments while adapting to changing conditions.

Exploring AI Factory Power Solutions

Doosan Enerbility is focusing on supporting NVIDIA’s AI factories through its extensive portfolio of large-scale power solutions. This includes gas turbines, steam turbines, small modular reactors, and hydrogen fuel-cell systems developed by Doosan Fuel Cell. These technologies are vital for powering AI data centers that require consistent reliability and high efficiency.

The collaboration could lead to advancements in power supply design tailored for AI factory deployments. Future efforts may include optimizing generation equipment and assessing low-carbon power sources like small modular reactors. By aligning energy system expertise with the demands of accelerated computing infrastructure, Doosan Enerbility aims to address the increasing power requirements associated with advanced AI technologies.

Supporting the NVIDIA MGX Ecosystem With Advanced PCB Materials

Doosan Corporation Electro-Materials BG is contributing to next-generation AI data center infrastructure by providing copper clad laminate (CCL), a crucial material for printed circuit boards (PCBs). High-performance CCLs are essential components for networking equipment, AI accelerators, and server motherboards where minimizing signal loss and ensuring reliability are paramount.

NVIDIA MGX offers a modular reference architecture designed for accelerated systems that aids manufacturers in building servers capable of supporting rack-scale AI factory infrastructures. As demands for performance and bandwidth increase within data centers, advanced PCB materials like CCL will play an essential role in maintaining high-speed signal integrity across various components.

What This Means

The expanded collaboration between NVIDIA and Doosan Group signifies a strategic move towards enhancing industrial automation through advanced technologies. By integrating cutting-edge robotics frameworks with robust power solutions and high-performance materials, this partnership aims not only to improve operational efficiencies but also to pave the way for more autonomous systems across multiple industries. As both companies work towards establishing industry standards in compact autonomous equipment and sustainable energy solutions, their efforts could redefine how industries approach automation in the future.

For more information, read the original report here.

Neil S
Neil S
Neil is a highly qualified Technical Writer with an M.Sc(IT) degree and an impressive range of IT and Support certifications including MCSE, CCNA, ACA(Adobe Certified Associates), and PG Dip (IT). With over 10 years of hands-on experience as an IT support engineer across Windows, Mac, iOS, and Linux Server platforms, Neil possesses the expertise to create comprehensive and user-friendly documentation that simplifies complex technical concepts for a wide audience.
Watch & Subscribe Our YouTube Channel
YouTube Subscribe Button

Latest From Hawkdive

You May like these Related Articles

LEAVE A REPLY

Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.