NVIDIA and Doosan Group Expand Collaboration to Advance Physical AI, Robotics, and AI Factory Infras

NVIDIA and Doosan Group are expanding their collaboration to advance new opportunities in Physical AI, robotics, and AI Factory infrastructure. The partnership spans multiple Doosan entities, including Doosan Robotics, Doosan Bobcat, Doosan Enerbility, and Doosan Corporation Electro-Materials BG.

This collaboration brings together Nvidia’s full-stack accelerated computing platforms with Doosan Group’s expertise in industrial automation, power generation, and advanced electronics materials to support next-generation AI infrastructure. Doosan Group’s businesses cover several layers of the AI factory ecosystem, ranging from Intelligent Robotics systems to large-scale Power Solutions and advanced electronics materials for AI data center equipment.

NVIDIA and Doosan will explore how NVIDIA’s physical AI stack, NVIDIA DSX AI fACTory platform, NVIDIA MGX, and accelerated computing platforms can support these domains.

Advancing Physical AI and Robotics

Doosan Robotics is integrating NVIDIA Isaac Sim, NVIDIA Isaac Lab open robotics Frameworks, NVIDIA Cosmos open world foundation models, the open-source Newton physics engine, and NVIDIA Jetson Thor to advance its Agentic Robot OS — an AI-powered platform that connects perception, reasoning, simulation, learning, and on-device inference. Through these integrations, Doosan Robotics AIms to help industrial robots better perceive, reason, and act in complex, dynamic environments. Simulation-to-real workflows, physics calibration, and AI reasoning will make collaborative robots more adaptable, task-specialized, and ready for scalable deployment.

The companies are also developing reference use cases for high-value industrial tasks such as depalletizing and sanding, as well as new robot form factors including dual-Arm and humanoid platforms. Built on Agentic Robot OS, these capabilities aim to transition Doosan Robotics from a robot arm provider into a full-stack, AI-first robotics solution company. This effort is part of a broader Doosan Group-wide direction for physical AI that extends beyond robotics into areas such as construction machinery and power equipment.

Doosan Bobcat also plans to explore integrating NVIDIA physical AI technologies into equipment used in construction, landscaping, agriculture, and material handling APPlications. This work will accelerate the development of specialized world models that enable Doosan Bobcat’s equipment to perceive diverse operating environments, reason about changing conditions, and perform tasks more autonomously. The companies also aim to help establish an industry-Standard ecosystem for compact autonomous equipment.

Exploring AI Factory Power Solutions

Doosan Enerbility is exploring opportunities to support NVIDIA AI Factories and the NVIDIA DSX AI factory platform through its large-scale power infrastructure portfolio, including gas turbines, steam turbines, and Small Modular Reactors, together with Doosan Fuel Cell’s hydrogen fuel cell systems. These technologies are relevant for AI data centers that require reliable, high-efficiency, and continuously available power.

future collaboration may include power supply design for AI factory deployments, optimization of generation equipment, and evaluation of low-carbon power sources such as small modular reactors. By aligning AI Infrastructure requirements with energy system expertise, Doosan Enerbility could help address the growing power demands of accelerated computing.

Supporting the NVIDIA MGX Ecosystem with Advanced PCB Materials

Doosan Corporation Electro-Materials BG is supporting next-generation AI data center infrastructure through Copper Clad Laminate (CCL), a key foundational material for printed circuit boards. High-performance CCLs are used in PCBs for networking equipment, AI accelerators, and AI server motherboards, where low signal loss and high reliability are critical.

The NVIDIA MGX platform provides a modular Reference Architecture for accelerateD systems, helping system manufacturers and ecosystem partners 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 an important role in enabling high-speed signal integrity across the Data Center equipment ecosystem.