NVIDIA and Doosan Group are expanding their collaboration to develop new opportunities in physics AI, robotics and AI factory infrastructure, Doosan Robotics, Doosan Bobcat, Doosan Enerbility and Doosan Corporation Electro-Materials BG.
The collaboration will bring together NVIDIA’s full-stack accelerated computing platforms with Toosan Group’s capabilities in industrial automation, power generation and advanced electronics products to support next-generation AI infrastructure.
Doosen Group’s businesses cover multiple layers of the AI factory ecosystem, from intelligent robotics systems to large-scale power solutions and advanced electronics for AI data center equipment.
How NVIDIA and Doosan Explore NVIDIA’s Physical AI Stack Nvidia DSX AI Factory Platform, Nvidia MGX More accelerated computing platforms can support these areas.
Advances in physics AI and robotics
Doosan Robotics integrates NVIDIA Isaac Sim and NVIDIA Isaac Lab open robotics frameworks, NVIDIA Cosmos open world foundation models, open source Newton physics engine and NVIDIA Jetson Thor to develop its agent robot OS.
By integrating NVIDIA’s physical AI technologies, Doosan Robotics aims to help industrial robots better sense and act rationally in complex and dynamic environments. Simulation-to-real workflows, physics calibration, and AI reasoning make collaborative robots highly adaptable, task-specialized, and ready for scalable deployment.
Companies want to develop reference use cases for high-value industrial tasks such as depalletizing and sandblasting, as well as new robot form factors, including dual-arm and humanoid forms.
Built on Agentic Robot OS, these capabilities aim to help Doosan Robotics evolve from a robot arm provider to a full-stack AI-first robotics solutions company. The work is part of a broader, Towson Group-wide direction for physical AI, which extends beyond robotics to areas such as construction machinery and power equipment.
Doosan Bobcat also plans to explore integrating NVIDIA physics AI technologies into equipment used in construction, landscaping, agriculture and material handling applications. This work will help accelerate the development of specialized world models that allow Tucson Bobcat’s tools to sense different operating environments, reason about changing conditions, and perform tasks autonomously. The companies also aim to help establish an industry-standard ecosystem for compact autonomous devices.
Exploring AI industrial energy solutions
Doosan Energy is exploring opportunities to support the Nvidia DSX AI Factory Platform, including gas turbines, steam turbines and small modular reactors, in conjunction with Toosan Fuel Cell hydrogen fuel cell systems for NVIDIA AI Factories and the Nvidia DSX AI Factory Platform. These technologies are suitable for AI data centers that require reliable, high performance and continuously available power.
Future collaborations include power supply design for AI factory deployments, optimization of manufacturing equipment, and evaluation of low-carbon power sources such as small modular reactors. By aligning AI infrastructure needs with power system expertise, Dusan Energity will help address the growing power demands of accelerated computing.
Supports the NVIDIA MGX ecosystem with advanced PCB materials
Doosan Corporation Electro-Materials BG uses copper clad laminate, or CCL, a key foundation material for printed circuit boards to support next-generation AI data center infrastructure.
High-performance CCLs are used in printed circuit boards (PCBs) for networking equipment, AI accelerators, and AI server motherboards, where low signal loss and high reliability are critical.
NVIDIA MGX provides a modular reference framework for accelerated systems, enabling system manufacturers and ecosystem partners to build servers and rack-scale AI factory infrastructure. As AI servers and networking systems increase in performance and bandwidth, advanced PCB materials such as CCL play a critical role in enabling high-speed signal integrity across the data center equipment ecosystem.
Learn more about Nvidia DSX And MGX.
Featured Image by Toosan Group.
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