Introduction
The Consumer Electronics Show (CES) has long been a barometer for the most cutting‑edge technologies that will shape the next decade. In 2026, the event’s Innovation Awards spotlighted a handful of breakthrough products that combine artificial intelligence, robotics, and industrial automation in ways that were previously unimaginable. Among the winners, Doosan Robotics—a global leader in collaborative and industrial robotics—stood out by securing two distinct accolades: the coveted Best of Innovation award in the Artificial Intelligence category and an Honoree recognition in the Robotics category. The company’s flagship product, the Scan & Go Autonomous Robotic Solution, was the centerpiece of this achievement. This dual recognition is not merely a marketing win; it signals a pivotal shift in how autonomous systems are being integrated into manufacturing, logistics, and even consumer spaces.
Doosan Robotics has built its reputation on delivering robots that can work safely alongside humans, adapt to changing environments, and reduce the need for costly re‑programming. The Scan & Go solution takes this philosophy to the next level by combining advanced perception, real‑time decision making, and robust navigation in a single platform. By winning in both AI and robotics categories, Doosan demonstrates that the convergence of these disciplines is not a theoretical exercise but a practical, market‑ready reality.
The significance of the awards extends beyond the company’s portfolio. It reflects the broader industry trend toward autonomous, AI‑driven operations that promise higher throughput, lower error rates, and improved safety. For businesses looking to stay competitive, understanding the capabilities and implications of solutions like Scan & Go is essential. The following sections will delve into the technology behind the award, the impact on various sectors, and what this means for the future of industrial automation.
Main Content
The Scan & Go Autonomous Robotic Solution: A Technical Overview
At its core, the Scan & Go platform is a mobile manipulator that can navigate complex indoor environments, identify objects, and perform pick‑and‑place tasks without human intervention. The system integrates a suite of sensors—including LiDAR, stereo cameras, and depth sensors—to build a high‑resolution, three‑dimensional map of its surroundings. This map is fed into a deep‑learning perception pipeline that can detect and classify a wide range of objects in real time.
Unlike traditional robotic arms that rely on fixed work cells, Scan & Go employs a mobile base equipped with omni‑directional wheels and an advanced motion planner. This design allows the robot to move freely through aisles, avoid obstacles, and position itself optimally for each task. The manipulation arm, meanwhile, is equipped with a force‑sensing gripper that can adjust its grip strength based on the object’s weight and fragility. The combination of mobility and dexterity enables the robot to handle tasks that would otherwise require multiple machines or manual labor.
The artificial intelligence component is where the product truly shines. The system’s neural network, trained on millions of labeled images and simulated scenarios, can predict the best grasping strategy for each object. It also learns from its own experience, refining its policies through reinforcement learning. This continuous improvement loop means that the robot’s performance improves over time, reducing cycle times and error rates.
Why the Awards Matter for Industry Stakeholders
For manufacturers, the Scan & Go solution offers a tangible return on investment. By automating repetitive tasks such as palletizing, sorting, or quality inspection, companies can free up human workers for higher‑value activities. The robot’s ability to operate in dynamic environments—such as a warehouse with constantly changing inventory—means that businesses no longer need to invest in rigid, reconfigurable infrastructure.
Logistics providers also stand to benefit. The robot’s autonomous navigation can be integrated into existing warehouse management systems, allowing for real‑time tracking of goods and optimized routing. In the retail sector, similar technology could enable in‑store inventory management, where robots scan shelves and alert staff to restock items, thereby reducing out‑of‑stock incidents.
The awards also signal to investors and partners that Doosan Robotics is at the forefront of a technology wave that is gaining mainstream acceptance. Recognition by CES, an event that attracts global media attention, can accelerate adoption and open doors to new markets.
The Broader Implications for AI and Robotics Integration
Doosan’s dual award underscores the growing trend of blending AI with robotics to create systems that are not only intelligent but also physically capable. Historically, AI and robotics have evolved somewhat independently—AI focused on data and decision making, while robotics dealt with mechanics and control. The Scan & Go platform demonstrates that the synergy between these fields can produce solutions that are both perceptive and agile.
This convergence has ripple effects across research and development. Companies are now investing in end‑to‑end platforms that include perception, planning, and actuation, rather than piecemeal solutions. The result is a new class of robots that can adapt to unstructured environments, a critical capability for applications ranging from disaster response to eldercare.
Moreover, the success of Scan & Go highlights the importance of human‑robot collaboration. The robot’s design prioritizes safety, with sensors that detect human presence and adjust behavior accordingly. This approach aligns with industry standards such as ISO/TS 15066, which governs collaborative robots (cobots). By meeting these standards, Doosan ensures that its robots can be deployed in shared workspaces without compromising safety.
Future Outlook: Scaling and Innovation
Looking ahead, Doosan Robotics plans to expand the capabilities of Scan & Go through modular add‑ons, such as advanced vision systems for defect detection or specialized grippers for delicate components. The company is also exploring cloud‑based analytics to provide predictive maintenance and performance dashboards for operators.
The broader industry is likely to follow suit. As more companies adopt AI‑driven robotics, we can expect to see a shift toward modular, software‑centric platforms that can be reconfigured on the fly. This modularity will reduce deployment times and lower barriers to entry for small and medium‑sized enterprises.
Conclusion
The dual CES 2026 Innovation Awards for Doosan Robotics’ Scan & Go Autonomous Robotic Solution are more than a trophy; they are a testament to the maturity of AI‑enabled robotics. By excelling in both artificial intelligence and robotics categories, Doosan has validated a technology that can transform manufacturing, logistics, and beyond. The platform’s blend of perception, autonomy, and manipulation sets a new benchmark for what robots can achieve in dynamic, real‑world settings. As businesses grapple with the twin pressures of cost reduction and productivity gains, solutions like Scan & Go offer a clear path forward—one that leverages cutting‑edge AI to unlock unprecedented operational efficiencies.
Call to Action
If you’re a decision‑maker in manufacturing, logistics, or retail, consider how autonomous robotics can reshape your operations. Reach out to Doosan Robotics to explore a pilot deployment of the Scan & Go solution and discover how AI‑driven automation can deliver measurable ROI. For researchers and developers, the technology stack behind Scan & Go offers a rich playground for innovation—whether it’s refining perception algorithms or designing new collaborative workflows. Join the conversation, experiment with the platform, and be part of the next wave of industrial automation.
