Doosan Robotics to Showcase Cutting-Edge AI Robot Solutions at Automatica 2025

Doosan Robotics is set to unveil a new generation of AI robot solutions at Automatica 2025, Europe’s leading automation trade fair, beginning June 24 in Munich, Germany. The company’s presence will highlight advancements in smart robotics and demonstrate the growing commercial viability of automation technologies across diverse industries.

Revolutionizing Automation with AI

Doosan Robotics plans to present its innovations across two distinct exhibition areas: “Automation in Action” and “Automation to Reality.” This dual approach aims to showcase both the practical applications and the underlying technologies driving the future of automation. According to a company release, the event will serve as a platform to demonstrate how collaborative robots are transforming manufacturing and logistics.

“Automation to reality”: AI-Powered Solutions

The “Automation to Reality” zone will feature a suite of AI-integrated robot solutions, many developed in collaboration with industry giants Nvidia and AWS. A key innovation is “Voice to Real,” a voice-recognition system co-developed with AWS and an evolution of the Mixmaster Moodie robot first presented at CES 2024.

This system, equipped with a 3D vision camera, allows robots to interpret natural language, understand user intent, identify objects, and perform tasks autonomously. Beyond voice control, Doosan will also demonstrate:

Material Handling Solution: Utilizing three collaborative robots with vision capabilities, this solution enables object recognition and manipulation without pre-programming.The system leverages Doosan’s proprietary Multi-Arm Dynamic Manipulation Engine to coordinate multiple robot arms for complex tasks.
Sanding Solution: This system employs AI and 3D vision to autonomously map and polish intricate surfaces.
Inspection Solution: Leveraging a 3D scanning system, this solution provides real-time, high-accuracy exterior inspections of vehicles.

Reader question: how might advancements in AI-powered robotic vision systems impact industries beyond manufacturing, such as healthcare or agriculture?

Bridging the Gap Between Simulation and reality

Another important offering is “Sim to Real,” a real-time motion control solution built on Nvidia Isaac Sim and CuRobo. This technology utilizes GPU acceleration to rapidly compute robot trajectories, allowing for seamless transfer of simulated motions to physical robots. “Sim to Real” promises to significantly reduce development time and improve the precision and responsiveness of robotic systems.

Did you know?-GPU acceleration, as used in “sim to Real,” significantly speeds up the complex calculations needed for robot motion planning, enabling faster and more precise movements.

“Automation in Action”: Real-World Applications

The “Automation in action” zone will focus on practical robot applications throughout the manufacturing process, including welding, machine tending, assembly, quality inspection, and palletizing. These solutions are the result of collaborations with European partners and are already being utilized by prominent companies.

Proven Performance with Industry Leaders

Doosan Robotics’ solutions are currently deployed by global industry leaders, including General Motors, Danone, Heineken, and Royal Mail. This widespread adoption demonstrates the commercial viability and operational reliability of the company’s technology within the European market.One analyst noted that the partnerships validate Doosan’s commitment to delivering robust and scalable automation solutions.

Expanding Robotic Automation: Beyond Manufacturing

The advancements in AI robot solutions, as showcased by Doosan Robotics at Automatica 2025, open doors to a broad spectrum of industry applications. expanding beyond customary manufacturing, thes technologies offer transformative potential in sectors like healthcare, agriculture, and logistics. In the “Automation to Reality” zone, the “Voice to Real” system offers a glimpse of how advanced perceptual capabilities are reshaping human-machine interactions, even outside a factory setting.

The integration of robotic vision systems and natural language processing is particularly promising. imagine robots capable of understanding complex instructions, adapting to dynamic environments, and performing intricate tasks wiht minimal human intervention. This level of sophistication is no longer confined to the factory floor.

Healthcare: Revolutionizing Patient Care

In healthcare, AI-powered robots are poised to revolutionize various aspects of patient care. Consider these potential applications:

Surgical Assistance: Robots can perform complex surgical procedures with greater precision and reduced invasiveness.Their steady hands and enhanced vision systems minimize errors and improve patient outcomes.
Medication Management: Robots can accurately dispense medications, reducing the risk of errors and freeing up nurses for more critical tasks. This includes automated inventory management and dispensing for pharmacies and hospitals.
Patient Monitoring: Sensors and cameras integrated into robotic systems can provide continuous patient monitoring, alerting healthcare professionals to any changes in a patient’s condition. Early detection leads to better treatment.
Rehabilitation: Robots assist patients with physical therapy, providing consistent support and tracking progress. This includes assisting with exercises and providing motivation.

Agriculture: Cultivating Efficiency and Sustainability

Agriculture also stands to gain substantially from automated solutions. The use of robotics in farming practices offers the opportunity to increase yields and reduce costs. Specifically focusing on improved productivity and resource management. Consider these areas:

Precision Planting and Harvesting: Robots equipped with advanced vision systems can precisely plant seeds and harvest crops, optimizing spacing and reducing waste. this maximizes crop yield.
Weed Control: Robots can identify and eliminate weeds without the need for herbicides, promoting lasting farming practices. Targeted herbicide request minimizes environmental impact.
Crop Monitoring: Drones and ground-based robots can monitor crops for pests, diseases, and nutrient deficiencies, enabling timely intervention. Early detection protects crops.
Automated Irrigation: Robots utilize sensors to manage irrigation systems, ensuring that crops receive the optimal amount of water, minimizing water waste and enhancing crop health. Smart irrigation systems are vital for water conservation.

Logistics: streamlining Supply Chains

The logistics industry will also experience a transformation via the use of robotic systems, creating a greater capacity for speed, accuracy and reliability. With advances in AI, efficiency is improved. Consider the following examples:

Warehouse automation: Robots can efficiently sort, pick, and pack orders in warehouses, accelerating fulfillment processes, thereby decreasing operating costs and labor needs. Productivity increases.
Autonomous Delivery: Self-driving robots can make deliveries to customers’ homes, reducing delivery times through speed of service and minimizing delivery costs. Customer experiences improve.
Inventory Management: Robots efficiently monitor inventory levels using machine learning algorithms, optimizing stock levels, and preventing stockouts. Preventative controls streamline the supply chain.

AI-powered robotic solutions can provide improved efficiency in a wider range of applications. These technologies can improve both the processes and customer experience across diverse industries.

The Road Ahead

As Doosan Robotics and other innovators continue to develop and refine these AI robot solutions, we can expect to see an even greater expansion of their applications across various industries. The convergence of cutting-edge technologies like 3D vision, voice recognition, and advanced motion control will drive further advancements, ultimately leading to more efficient, productive, and sustainable practices. The integration of these tools can support improvements in diverse fields.The future is now.

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