The evolution of mobile robots

Over the past decade, mobile robots designed to boost human productivity and efficiency have become increasingly practical. Advances in technology have made large-scale automation more feasible while also reducing costs, making these systems accessible to a wider range of businesses.

One key factor driving adoption is their ability to adapt and work alongside humans and existing systems. Companies today are no longer willing to trade flexibility for performance. As Jeff Larson, director of solutions design at Ocado Mobile Robot Systems, explains, modern operations now demand a third critical element: adaptability. Mobile robotics is uniquely positioned to meet this need.

Labor challenges also play a major role in this shift. With ongoing labor shortages, high employee turnover, and safety concerns, mobile robots are widely used in sectors such as third-party logistics, healthcare, manufacturing, and retail. Despite the variety of robot types available, their shared objective is to streamline workflows and improve operational efficiency.

Rick Faulk, CEO of Locus Robotics, emphasizes that these systems are designed to make human workers more effective. By reducing time spent walking and handling repetitive tasks, robots can significantly boost productivity—often doubling output—while also making daily work less physically demanding.

A Balance of Flexibility, Scalability, and Productivity

A decade or more ago, automation was largely limited to fixed systems like conveyors. Some companies also invested in shuttle systems, but these setups lacked flexibility. While they delivered strong performance, they forced businesses to choose between rigid automation and adaptable manual processes.

Today, mobile robots remove that dilemma. They can operate alongside employees, integrate with other automated systems, and scale up or down based on demand. More importantly, they allow businesses to adjust workflows, modify picking routes, and reorganize operations quickly as needs change.

For example, a fulfillment company partnered with Ocado Intelligent Automation to implement autonomous mobile robots (AMRs). Facing challenges in meeting high order volumes, the company saw its picking efficiency triple within three months of deployment.

Mobile robots excel at handling repetitive, physically demanding tasks such as transporting goods across large warehouses. At the same time, they maintain operational flexibility, which is critical in dynamic environments.

Another major advantage is scalability. In the past, high component costs made it difficult for robots to deliver a strong return on investment. However, as technology has advanced and costs have declined, robots have become far more affordable and viable for a broader range of companies.

Unlike traditional conveyor systems, which can take years to design and install, mobile robots can often be deployed in weeks—or even days. This allows businesses to quickly respond to seasonal demand or changing order patterns.

Additionally, modern robots are equipped with advanced sensors that enable precise navigation. Facilities can now operate hundreds of robots simultaneously, even in older buildings that were not originally designed for automation.

Supporting and Enhancing the Workforce

Labor issues remain a primary driver behind automation. Many warehouses and factories struggle not only to recruit workers but also to retain them, with turnover rates often reaching double digits each month.

Mobile robots help address this challenge by assisting employees rather than replacing them. By taking over repetitive and physically taxing tasks, they allow workers to focus on more valuable and engaging responsibilities. This not only improves productivity but also increases job satisfaction and retention.

For instance, workers in traditional warehouse environments may walk 13 to 15 miles per day. Mobile robotics significantly reduces this burden, making work less exhausting and more efficient.

Another important development is accessibility. Previously, operating robotic systems required specialized technical knowledge. Today, user-friendly interfaces—such as touchscreen controls—make it possible for almost any employee to operate and troubleshoot robots with minimal training.

Improving Safety in the Workplace

Modern mobile robots are also contributing to safer working environments. Advances in software, combined with technologies like computer vision, machine learning, and LiDAR, enable robots to navigate spaces intelligently and avoid hazards.

New systems are designed to handle heavy-duty tasks such as moving large loads or assisting with cross-docking. By removing workers from potentially dangerous activities, these robots help reduce the risk of injury.

Automation can also improve safety compared to traditional equipment like forklifts. Autonomous systems are often more predictable and consistent, reducing the likelihood of accidents in busy environments.

However, challenges remain. As robots become more flexible, ensuring their behavior remains predictable and intuitive for nearby workers is still an ongoing area of development. Balancing adaptability with human-friendly operation continues to be a key focus for the industry.

The Role of AI in the Future of Mobile Robotics

Beyond physical tasks, mobile robots are increasingly valuable for the data they generate. This data provides real-time insights that help managers optimize operations and make better decisions.

Artificial intelligence is playing a growing role in this evolution. AI enables robots to recognize obstacles, distinguish between different objects, and respond appropriately—for example, reacting differently to a person than to a forklift.

It also enhances workflow optimization. In high-volume environments, AI systems can analyze incoming orders, inventory locations, and workforce availability to assign tasks in the most efficient way possible. This reduces unnecessary movement and improves overall productivity.

As AI technology continues to advance, its impact on mobile robotics is expected to grow. It will further improve forecasting, decision-making, and collaboration between humans and machines. While some organizations are already leveraging these capabilities, the full potential of AI-driven robotics is still unfolding.