NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure

2026-06-07 · Source: NVIDIA Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Cloud Computing & IT Infrastructure · Depth: Intermediate, quick

Summary

NVIDIA and Doosan Group are expanding their collaboration to advance physical AI, robotics, and AI factory infrastructure across Doosan Robotics, Doosan Bobcat, Doosan Enerbility, and Doosan Corporation Electro-Materials BG. Doosan Robotics is integrating NVIDIA Isaac Sim, NVIDIA Isaac Lab, NVIDIA Cosmos open world foundation models, the Newton physics engine, and NVIDIA Jetson Thor into its Agentic Robot OS to enhance industrial robots' perception, reasoning, and action in complex environments, developing use cases like depalletizing and sanding, and new robot forms. Doosan Bobcat will also explore NVIDIA physical AI for construction and agriculture equipment. Additionally, Doosan Enerbility is investigating supporting NVIDIA AI factories and the NVIDIA DSX AI factory platform with large-scale power solutions, including gas turbines and small modular reactors. Doosan Corporation Electro-Materials BG will supply high-performance copper clad laminate (CCL) for printed circuit boards in NVIDIA MGX-based AI data center equipment, ensuring signal integrity.

Key takeaway

For Robotics Engineers developing industrial automation, this collaboration signals a shift towards full-stack AI-first robotics solutions. You should explore NVIDIA Isaac Sim, Isaac Lab, and Jetson Thor for simulation-to-real workflows and advanced perception. AI Architects planning data center infrastructure should consider the growing demand for specialized power solutions and high-performance PCB materials like copper clad laminate (CCL), as these are becoming critical for scalable AI factory deployments.

Key insights

NVIDIA and Doosan are integrating full-stack AI across robotics, power, and materials to build comprehensive AI factory ecosystems.

Principles

• Full-stack AI integrates perception, reasoning, and simulation.
• Physical AI extends beyond robotics to heavy equipment.
• Advanced materials are critical for high-speed AI infrastructure.

Method

Doosan Robotics integrates NVIDIA Isaac Sim, Isaac Lab, Cosmos, Newton physics engine, and Jetson Thor into its Agentic Robot OS for simulation-to-real workflows, physics calibration, and AI reasoning.

In practice

• Develop reference use cases for industrial tasks.
• Explore new robot form factors like dual-arm.
• Evaluate low-carbon power sources for AI data centers.

Topics

• Physical AI
• Robotics
• AI Factory Infrastructure
• NVIDIA Isaac Sim
• NVIDIA MGX
• Industrial Automation

Best for: Investor, CTO, VP of Engineering/Data, AI Engineer, Robotics Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA Blog.