Nvidia and Doosan team up to bring AI-powered intelligence to industrial robots

Nvidia has partnered with Doosan Robotics to integrate advanced artificial intelligence into industrial robots, marking a significant step toward smarter and more adaptive automation systems. The collaboration focuses on enhancing how robots perceive, reason, and interact with their environment, particularly in manufacturing and logistics settings.

The partnership combines Nvidia’s AI computing platforms and simulation technologies with Doosan’s expertise in collaborative robots, also known as cobots. These robots are widely used in industrial environments to work alongside humans, and the integration of AI is expected to significantly improve their flexibility and efficiency across a range of applications.

A key highlight of the collaboration is the use of Nvidia’s AI models and simulation tools to enable robots to make real-time decisions based on visual inputs. For example, AI-powered systems can analyze a single camera image to detect object conditions, estimate weight or fragility, and adjust handling techniques accordingly. This allows robots to move beyond rigid, pre-programmed tasks and perform more complex, adaptive operations.

The companies have already showcased AI-driven robotic solutions at global events such as CES 2026, where Doosan demonstrated advanced automation systems powered by Nvidia technologies. These solutions include intelligent palletizing and depalletizing robots capable of optimizing workflows, reducing errors, and improving overall productivity in warehouse and factory environments.

This collaboration reflects a broader shift in the robotics industry toward “physical AI,” where machines are equipped with advanced reasoning and learning capabilities. As industries increasingly demand flexible automation to handle complex tasks, partnerships like Nvidia and Doosan’s are helping drive the transition from traditional robotics to intelligent, autonomous systems that can adapt to real-world conditions.

 

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