Doosan Robotics’ Scan & Go and AI Depalletizer systems. | Source: Doosan Robotics

At CES this week, Doosan Robotics Inc. demonstrated its AI-Powered Depalletizing system. The company also unveiled its Scan & Go Autonomous Robotic Solution and a collaboration with Maple Advanced Robotics Inc. for finishing.

The AI depalletizer demo featured real-time, optimized motion planning using NVIDIA cuMotion. The automated system integrates 3D vision–based box recognition and text recognition, said the Seoul, South Korea-based company.

By using advanced AI motion algorithms, the depalletizing system can also dynamically avoid obstacles and automatically generate optimized motion paths, it said. Doosan claimed that these capabilities enable more adaptive and intelligent automation to improve flexibility in logistics environments.

Doosan said it has integrated collaborative robot hardware, software, and advanced AI functionalities into a unified plug-and-play package. Designed for swift installation and immediate operation, the system enables users to optimize workflows and task sequences, significantly reducing operation time, it noted.

In addition, coordinated collaboration among multiple robots can enhance overall efficiency, said the company.

Doosan demos Scan & Go at CES

Doosan Robotics also unveiled its Scan & Go autonomous system at CES 2026. The product won two 2026 CES Innovation Awards, including “Best of Innovation” in the AI category.

“We’re moving into the next phase of the company as we provide the very best solutions to increase efficiencies and safety across various worksites,” stated Kevin Kim, CEO of Doosan Robotics. “We’re delivering a scalable portfolio of best-in-class robotic solutions to the market, enabled through strategic partnerships with industry leaders such as NVIDIA, addressing challenges across multiple industries.”

Scan & Go uses artificial intelligence for large-scale composite repair. It uses cognitive learning, physics-based intelligence, and laser-based 3D vision to interpret complex geometries in real time.

The system then generates optimized tool paths directly from point-cloud data, eliminating the need for CAD modeling or code programming.

MARI partners for large structure finishing

Doosan Robotics partnered with Maple Advanced Robotics Inc. (MARI) to develop the system. Richmond Hill, Ontario-based MARI develops and provides AI-driven robotic platforms.

Deployed on an autonomous forklift, the system is designed to operate across large and irregular structures such as aircraft fuselages, wind turbine blades, and architectural façades. With minimal preparation, it executes sanding, grinding, and inspection tasks.

Doosan said it can helps manufacturers accelerate production, reduce labor requirements, and enhance quality and workplace safety. The company claimed that it is a global leader in cobots, providing safety, payload capacity, and reach for applications across sectors.

Doosan earned a 2024 RBR50 Robotics Innovation award for its Dart-Suite programming environment. It has U.S. offices in Plano, Texas.

Also at CES, Doosan Bobcat announced AI for construction vehicles. Doosan is showing its latest systems in Booth 5840 in the West Hall of the Las Vegas Convention Center during CES 2026.

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