Doosan Robotics Introduces Award-Winning AI Solutions at CES 2026

Doosan Robotics Inc., a global leader in collaborative robotics, recently showcased its latest innovations at CES 2026, held in Las Vegas from January 6 to 9. The company introduced its groundbreaking autonomous robotic solution named "Scan Go," which won two prestigious CES innovation awards, including the "Best of Innovation" in the artificial intelligence category.

The Scan Go system revolutionizes composite repair on a large scale by seamlessly integrating cognitive learning, physics-based intelligence, and 3D laser vision. This advanced technology allows the robot to interpret complex geometries in real-time and generate optimized tool paths directly from point cloud data. By eliminating the need for CAD modeling or code programming, the system enhances precision and efficiency, autonomously adapting its movements for intricate and high-accuracy tasks.

Mounted on an autonomous forklift, Scan Go is engineered to operate on expansive and irregular surfaces, such as aircraft fuselages, wind turbine blades, and architectural facades. With minimal setup, it can perform sanding, grinding, and inspection tasks, enabling manufacturers to accelerate production, decrease labor requirements, and elevate workplace quality and safety.

Developed in partnership with Maple Advanced Robotics Inc. (MARI), a Canadian innovation firm specializing in robotics and automation, the solution demonstrates Doosan's commitment to expanding robotic capabilities powered by artificial intelligence. MARI's advancements significantly contribute to the development and provision of AI-driven robotic platforms in various sectors.

In addition to Scan Go, Doosan Robotics revealed its AI-powered depalletizer, which utilizes Nvidia cuMotion for optimal real-time movement planning. This automated solution incorporates 3D box recognition, text identification, obstacle avoidance, and automatic trajectory generation, vastly improving operational efficiency and flexibility in logistics environments. By leveraging advanced AI movement algorithms, the system effectively recognizes cubic boxes, dynamically avoids obstacles, and generates optimized movement paths for execution.

The intelligent robotic solution integrates collaborative robot hardware, software, and advanced artificial intelligence features into a unified package, ready for immediate deployment. Designed for rapid installation and operation, Doosan’s solution empowers users to optimize workflows and task sequences through AI-driven automation, significantly reducing operational downtime. Additionally, coordinated collaboration among multiple robots boosts overall efficiency.

Kevin Kim, CEO of Doosan Robotics, emphasized the company’s strategic transformation toward becoming a leading provider of AI robotic solutions aimed at enhancing efficiency and safety across diverse workplaces. "We are delivering a scalable portfolio of top-tier robotic solutions to meet challenges in various industries, thanks to strategic partnerships with industry leaders like NVIDIA," Kim stated.

Earlier this year, Doosan Robotics announced its strategic shift towards a company specializing in AI robotic solutions to ensure future growth drivers and enhance global technological competitiveness. The company continues to focus on developing innovative technologies and is planning to launch its AI palletizing solution in the first half of this year.

For those interested in more details about Doosan Robotics' presence at CES 2026, visit their booth at the convention or contact them for inquiries.

About Doosan Robotics


Doosan Robotics is a world leader in collaborative robotic solutions, delivering cutting-edge AI robots to over 45 countries globally. Known for safety and world-class performance, Doosan Robotics serves top-tier clients in various sectors, including automotive, electronics, semiconductors, logistics, and energy. For further information, explore Doosan Robotics online.

Topics Consumer Technology)

【About Using Articles】

You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.

【About Links】

Links are free to use.