NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure
NVIDIA Blog · Madison Huang · 2026-06-07
NVIDIA and Doosan Group announce an expanded collaboration integrating NVIDIA's physical AI and accelerated computing stack across Doosan's robotics, construction equipment, power generation, and electronics materials businesses to support AI factory infrastructure.
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Topics: physical-airoboticsai-infrastructureindustrial-automationai-data-centers
Claims
- Doosan Robotics is integrating NVIDIA Isaac Sim, Isaac Lab, Cosmos world foundation models, the Newton physics engine, and Jetson Thor into its Agentic Robot OS platform.
- The collaboration targets reference use cases for high-value industrial tasks such as depalletizing and sanding, as well as new form factors including dual-arm and humanoid robot platforms.
- Doosan Bobcat plans to use NVIDIA physical AI technologies to build specialized world models for autonomous operation of construction, landscaping, and agricultural equipment.
- Doosan Enerbility is exploring large-scale power supply for NVIDIA AI factories using gas turbines, steam turbines, small modular reactors, and hydrogen fuel-cell systems.
- Doosan Corporation Electro-Materials BG is supplying copper clad laminate, a foundational PCB material, for AI accelerators and server motherboards in the NVIDIA MGX ecosystem.
Key quotes
Built on Agentic Robot OS, these capabilities aim to help Doosan Robotics evolve from a robot arm provider into a full-stack AI-first robotics solution company.
Future collaboration could include power supply design for AI factory deployments, optimization of generation equipment and evaluation of low-carbon power sources such as small modular reactors.
As AI servers and networking systems increase in performance and bandwidth, advanced PCB materials such as CCL can play an important role in enabling high-speed signal integrity across the data center equipment ecosystem.